The platform for open and practice-oriented research

Products 686

product

Imagining energy potential

Significant factors in the success or failure of energy transition arise from the spatial potential of places and their communities. Scenario planning appears to be an appropriate design instrument to enable architects to unveil, conceptualise, imagine, test and communicate this potential to stakeholders. This paper critically refelcts on the scenario as an architectural design instrument. Inscribed with political intentions, scenario planning may be a far from neutral design instrument. Instead of triggering communities to explore local energy potential, a scenario may have a normative effect on a community's imagination. The paper aims to define guidelines for the deployment of scenarios in an open, participatory planning process. To mediate in a local participatory planning process, we argue, scenarios should be situational, dynamic and open-ended, allowing or even triggering communities to (re)define the issues relevant to a place during the ongoing process of energy-transition. How, when and where should scenarios be deployed in order to enable communities to understand and develop their local energy potential?

DOCUMENT

product

Onderzoeksagenda Nationaal Lectorenplatform Urban Energy

Uit het rapport: "Deze onderzoeksagenda is tot stand gebracht door de lectoren die samenwerken in het Nationaal Lectoren Platform Urban Energy. Alle betrokkenen bij het platform zijn in staat gesteld om bij te dragen aan de tekst, speciale dank daarbij voor de bijdragen en commentaren vanuit de TKI Urban Energy en de HCA topsector Energie."

DOCUMENT

Onderzoeksagenda Nationaal Lectorenplatform Urban Energy

product

Local energy planning in the built environment: An analysis of model characteristics

Energy planning in the built environment increasingly takes place in local settings. Suitable planning models should therefore be able to capture local dynamics, such as stakeholder behaviour, resource availability and building characteristics. In relation to the key challenges of energy transition in the built environment, building efficiency and renewable heating, little attention has been paid to the model characteristics needed to address these challenges. This paper analyses the characteristics of available models from the scientific community and the professional practice. Secondly, the paper reviews modelling approaches for integrating social factors within techno-economic models, as many local dynamics have a non-technical nature. Based on the gaps identified in the analysis, an analytical framework is proposed for local energy planning models for the built environment. Building characteristics, social context factors, temporal dynamics and spatial characteristics have been identified as key building blocks for a new modelling approach. To be able to deal with the socio-technical context, an integrated, socio-technical approach is suggested. This model collaboration, consisting of model calculations and empirical and participatory methods, will be capable of better supporting decision-making in a local, multistakeholdercontext.

LINK

product

Building and building systems energy prediction models to enhance energy flexibility control

The built environment requires energy-flexible buildings to reduce energy peak loads and to maximize the use of (decentralized) renewable energy sources. The challenge is to arrive at smart control strategies that respond to the increasing variations in both the energy demand as well as the variable energy supply. This enables grid integration in existing energy networks with limited capacity and maximises use of decentralized sustainable generation. Buildings can play a key role in the optimization of the grid capacity by applying demand-side management control. To adjust the grid energy demand profile of a building without compromising the user requirements, the building should acquire some energy flexibility capacity. The main ambition of the Brains for Buildings Work Package 2 is to develop smart control strategies that use the operational flexibility of non-residential buildings to minimize energy costs, reduce emissions and avoid spikes in power network load, without compromising comfort levels. To realise this ambition the following key components will be developed within the B4B WP2: (A) Development of open-source HVAC and electric services models, (B) development of energy demand prediction models and (C) development of flexibility management control models. This report describes the developed first two key components, (A) and (B). This report presents different prediction models covering various building components. The models are from three different types: white box models, grey-box models, and black-box models. Each model developed is presented in a different chapter. The chapters start with the goal of the prediction model, followed by the description of the model and the results obtained when applied to a case study. The models developed are two approaches based on white box models (1) White box models based on Modelica libraries for energy prediction of a building and its components and (2) Hybrid predictive digital twin based on white box building models to predict the dynamic energy response of the building and its components. (3) Using CO₂ monitoring data to derive either ventilation flow rate or occupancy. (4) Prediction of the heating demand of a building. (5) Feedforward neural network model to predict the building energy usage and its uncertainty. (6) Prediction of PV solar production. The first model aims to predict the energy use and energy production pattern of different building configurations with open-source software, OpenModelica, and open-source libraries, IBPSA libraries. The white-box model simulation results are used to produce design and control advice for increasing the building energy flexibility. The use of the libraries for making a model has first been tested in a simple residential unit, and now is being tested in a non-residential unit, the Haagse Hogeschool building. The lessons learned show that it is possible to model a building by making use of a combination of libraries, however the development of the model is very time consuming. The test also highlighted the need for defining standard scenarios to test the energy flexibility and the need for a practical visualization if the simulation results are to be used to give advice about potential increase of the energy flexibility. The goal of the hybrid model, which is based on a white based model for the building and systems and a data driven model for user behaviour, is to predict the energy demand and energy supply of a building. The model's application focuses on the use case of the TNO building at Stieltjesweg in Delft during a summer period, with a specific emphasis on cooling demand. Preliminary analysis shows that the monitoring results of the building behaviour is in line with the simulation results. Currently, development is in progress to improve the model predictions by including the solar shading from surrounding buildings, models of automatic shading devices, and model calibration including the energy use of the chiller. The goal of the third model is to derive recent and current ventilation flow rate over time based on monitoring data on CO₂ concentration and occupancy, as well as deriving recent and current occupancy over time, based on monitoring data on CO₂ concentration and ventilation flow rate. The grey-box model used is based on the GEKKO python tool. The model was tested with the data of 6 Windesheim University of Applied Sciences office rooms. The model had low precision deriving the ventilation flow rate, especially at low CO2 concentration rates. The model had a good precision deriving occupancy from CO₂ concentration and ventilation flow rate. Further research is needed to determine if these findings apply in different situations, such as meeting spaces and classrooms. The goal of the fourth chapter is to compare the working of a simplified white box model and black-box model to predict the heating energy use of a building. The aim is to integrate these prediction models in the energy management system of SME buildings. The two models have been tested with data from a residential unit since at the time of the analysis the data of a SME building was not available. The prediction models developed have a low accuracy and in their current form cannot be integrated in an energy management system. In general, black-box model prediction obtained a higher accuracy than the white box model. The goal of the fifth model is to predict the energy use in a building using a black-box model and measure the uncertainty in the prediction. The black-box model is based on a feed-forward neural network. The model has been tested with the data of two buildings: educational and commercial buildings. The strength of the model is in the ensemble prediction and the realization that uncertainty is intrinsically present in the data as an absolute deviation. Using a rolling window technique, the model can predict energy use and uncertainty, incorporating possible building-use changes. The testing in two different cases demonstrates the applicability of the model for different types of buildings. The goal of the sixth and last model developed is to predict the energy production of PV panels in a building with the use of a black-box model. The choice for developing the model of the PV panels is based on the analysis of the main contributors of the peak energy demand and peak energy delivery in the case of the DWA office building. On a fault free test set, the model meets the requirements for a calibrated model according to the FEMP and ASHRAE criteria for the error metrics. According to the IPMVP criteria the model should be improved further. The results of the performance metrics agree in range with values as found in literature. For accurate peak prediction a year of training data is recommended in the given approach without lagged variables. This report presents the results and lessons learned from implementing white-box, grey-box and black-box models to predict energy use and energy production of buildings or of variables directly related to them. Each of the models has its advantages and disadvantages. Further research in this line is needed to develop the potential of this approach.

DOCUMENT

Building and building systems energy prediction models to enhance energy flexibility control

product

Targeting Energy Management

Energiebeheer gericht aanpakken, Het analyseren van doelstellingen, resultaten en impacts van energie- en broeikasgasbeheersprogramma’s in bedrijven (met een samenvatting in het Nederlands): De wereldwijde uitstoot van broeikasgassen moet drastisch worden teruggebracht om de mondiale stijging van de temperatuur tot het relatief veilige niveau van maximaal 2 graden Celsius te beperken. In de komende decennia zal de verbetering van de energie-efficiëntie de belangrijkste strategie zijn voor het verminderen van de energiegerelateerde uitstoot van broeikasgassen. Hoewel er een enorm potentieel is voor verbetering van de energie-efficiëntie, wordt een groot deel daarvan nog niet benut. Dit wordt veroorzaakt door diverse investeringsbarrières die de invoering van maatregelen voor energie-efficiëntie verbetering verhinderen. De invoering van energiemanagement wordt vaak beschouwd als een manier om dergelijke barrières voor energiebesparing te overwinnen. De invoering van energiemanagement in bedrijven kan worden gestimuleerd door de introductie van programma's voor energie-efficiëntie verbetering en vermindering van de uitstoot van broeikasgassen. Deze programma's zijn vaak een combinatie van verschillende elementen zoals verplichtingen voor energiemanagement; (ambitieuze) doelstellingen voor energiebesparing of beperking van de uitstoot van broeikasgassen; de beschikbaarheid van regelingen voor stimulering, ondersteuning en naleving; en andere verplichtingen, zoals openbare rapportages, certificering en verificatie. Tot nu toe is er echter beperkt inzicht in het proces van het formuleren van ambitieuze doelstellingen voor energie-efficiëntie verbetering of het terugdringen van de uitstoot van broeikasgassen binnen deze programma's, in de gevolgen van de invoering van dergelijke programma's op de verbetering van het energiemanagement, en in de impact van deze programma's op energiebesparing of de vermindering van de uitstoot van broeikasgassen. De centrale onderzoeksvraag van dit proefschrift is als volgt geformuleerd: "Wat is de impact van energie- en broeikasgasmanagement programma’s op het verbeteren van het energiemanagement in de praktijk, het versnellen van de energieefficiëntie verbetering en het beperken van de uitstoot van broeikasgassen in bedrijven?".

DOCUMENT

People 3

person

PM Peeters

Professor

person

Rana Habibi

Researcher and Lecturer in Urban Design

person

Sandra Bellekom

Projects 10

project

Energy Systems in Transition / Transforming regions

ESTRAC – Transforming RegionsESTRAC is een meerjarig samenwerkingsverband tussen de Hanzehogeschool Groningen, de Rijksuniversiteit Groningen en TNO. Het ESTRAC project Transforming Regions gaat over het vinden van benaderingen, methoden en instrumenten die kunnen worden ingezet voor besluitvorming in de energietransitie op regionaal en lokaal niveau.Er zijn twee onderzoekslijnen in het project: industriële transformatie en gebouwde omgeving. Het onderzoek van de Hanzehogeschool richt zich met name op de gebouwde omgeving.Voor de gebouwde omgeving zijn we op zoek naar goed werkende bestaande en nieuw te ontwikkelen tools en modellen die verschillende partijen kunnen helpen bij het maken van plannen en besluiten om een gebied CO2 neutraal te maken. We doen dit vanuit een gebiedsgerichte benadering. Eén van de belangrijkste uitgangspunten hierbij is het betrekken van gemeenschappen en bewoners bij plannings- en besluitvormingsprocessen. Gezamenlijk zijn we in dit project op zoek naar een aanpak en methoden die in het hele traject van de energietransitie gebruikt kunnen worden: van bewustwording tot uitvoering. Hierbij kijken we niet alleen naar technische- economische aspecten van energiesystemen maar ook naar ruimtelijke en sociale factoren die een rol spelen. Het onderzoek vindt plaats aan de hand van een aantal case studies op bijvoorbeeld Ameland, in een aantal dorpen in het landelijk gebied en een stadswijk in Groningen.

Finished

project

INTRALOG - Intelligent Truck Applications in Logistics

Aanleiding: Automatisering kan leiden tot beter gebruik van materialen en afval reduceren. Dit brengt verbeteringen met zich mee voor 'people, planet and profit' (PPP) - mensen, het milieu en de winst. Een specifieke vorm van automatisering, de ontwikkeling van zelfrijdende auto's en vrachtauto's, gaat snel. Maar om zelfrijdende voertuigen beschikbaar te maken is er nog veel onderzoek en ontwikkeling nodig op verschillende gebieden. Er zijn nog veel vragen te beantwoorden op het gebied van onder andere truckontwerp, betrouwbare software, aansprakelijkheid, trajectplanning en logistiek. Doelstelling Het doel van het Intralog-project is om voor de maatschappij en de private sector een significante bijdrage te leveren aan de mogelijkheden van zelfrijdende voertuigen in de commerciële transportsector. Het Intralog-project onderzoekt de toegevoegde waarde voor PPP van 'automated guided trucks' (AGT's) aan logistieke operaties bij distributiecentra en interterminal/intermodal traffic hubs. Dit gebeurt in twee stappen: 1) het identificeren van het potentieel met betrekking tot de vraag vanuit de logistieke omgeving; 2. het ontwerpen, realiseren, testen en valideren van mogelijke strategieën voor het implementeren van AGT's in een logistiek scenario. Beoogde resultaten Het concrete resultaat van het project bestaat uit onderzoekstools en hardware- en softwaremodellen voor Intralog. Deze bieden een goede mogelijkheid om de opgedane kennis te verspreiden. De projectdeelnemers zullen bijdragen aan workshops, tentoonstellingen en in Nederland georganiseerde symposia. De onderzoeksresultaten verspreiden ze op conferenties en door middel van publicaties in technische vakbladen. De uiteindelijke Intralog-resultaten worden gepresenteerd op een afsluitend congres. De resultaten zullen worden samengevat in een boekje.

Finished

project

Knowledge Flows in Marine Spatial Planning : Sharing Innovation in Higher Education

KnowledgeFlows in Marine Spatial Planning - Sharing Innovation in Higher Education(KnowledgeFlows) aims at further enforcing the European higher education community to meet the growing demands for knowledge, skills and innovation within the still emerging field of marine or maritime spatial planning (MSP).Marine Spatial Planning (MSP) is an emerging governmental approach towards a more effective use of the sea. MSP is of great interest in Europe and can be considered a societal process to balance conflicting interests of maritime stakeholders and the marine environment. Many different activities take place at sea, ranging from shipping, fisheries, to offshore wind energy activities. Simultaneously, new and evolving policies focus on strategies to integrate different marine demands in space and resources. MSP is now legally binding in the EU and is much needed approach to manage and organize the use of the sea, while also protecting the environment.KnowledgeFlows will contribute to the development of new innovative approaches to higher education and training on MSP by means of problem-based learning schemes, transdisciplinary collaboration, and advanced e-learning concepts. KnowledgeFlows builds on results from former project outputs (Erasmus+ Strategic Partnership for Marine Spatial Planning SP-MSP), such as the online learning platform MSP Education Arena (https://www.sp-msp.uol.de).The strategic partnership consists of a transnational network of experts both in research and in practice based in the north Atlantic, Baltic Sea and North Sea Regions including Aalborg University (DK, lead partner), The University of Oldenburg (D), the University of Liverpool (U.K.), the University of Nantes (F), the Leibniz Institute for Baltic Sea Research (D), the Breda University of Applied Sciences (NL), University of Ulster (U.K.), and the Finnish Environment Institute (FI). Gothenburg University, also being a higher education organisation, will be associated partner.Furthermore, three international organisations, the Marine Spatial Planning Research Network, the Baltic inter-governmental VASAB and the pan-Nordic Nordregio will be involved in the partnership as associated organisations deeply rooted in the MSP community of practice.The further improvement of curricula, exchange of knowledge and experts, and transparency and recognition of learning outcomes to reach higher qualifications in MSP are key components of KnowledgeFlows. A mutual learning environment for MSP higher education will enable problem-driven innovation among students and their educators from research and governance also involving stakeholders. Related activities on intellectual outputs, multiplier events and lecturing will be carried out by all participating organisations.The intellectual outputs are related to three major contributions to the European higher education landscape:1) an advanced level international topical MSP course (Step-up MSP)2) digital learning facilities and tools (MSP Education Arena)3) designing problem-based learning in MSP (MSP directory)The advanced level inter-institutional topical MSP course will include different teaching and training activities within a problem-based learning environment. Digital learning facilities enabling communication and training will include a further enrichment of the MSP Education Arena platform for students, practitioners and lecturers for including modules forcollaborate learning activities, documentation and dissemination, mobilisation/recruitment, thesis opportunities, placements/internships. Designing problem-based learning in MSP will include topics as; the design of didactics and methods; guidance for lecturers, supervisors and students; evaluation and quality assurance; assessment.Five multiplier events back to back or as part of conferences within the MSP community will be organised to mainstream the outputs and innovative MSP didactics among other universities and institutions.Different teaching and training activities feeds into the intellectual output activities, which will include serious gaming sessions (MSP Challenge (http://www.mspchallenge.info/) and others), workshops, excursions, courses/classes as well as a conference with a specific focus on facilitating the exchange of innovative ideas and approaches among students at bachelor´s, master´s and doctoral level and the MSP community of practice.Project management meetings (twice a year) will assure coherence in project planning and implementation. As the core focus of the strategic partnership is on collaboration, mutual learning, and innovation among educators, students, and practitioners in order to meet actual and future needs regarding knowledge exchange and training within the MSP community, the project will be designed to have long lasting effects.Results

Finished

project

LILS (SPRONG groep Low Impact Lastmile logisticS)

The SPRONG group, originating from the CoE KennisDC Logistiek, focuses on 'Low Impact in Lastmile Logistics' (LILS). The LILS group conducts practical research with local living labs and learning communities. There is potential for more collaboration and synergy for nationwide scaling of innovations, which is currently underutilized. LILS aims to make urban logistics more sustainable and facilitate necessary societal transitions. This involves expanding the monodisciplinary and regional scope of CoE KennisDC Logistiek to a multidisciplinary and supra-regional approach, incorporating expertise in spatial planning, mobility, data, circularity, AI, behavior, and energy. The research themes are:- Solutions in scarce space aiming for zero impact;- Influencing behavior of purchasers, recipients, and consumers;- Opportunities through digitalization.LILS seeks to increase its impact through research and education beyond its regions. Collaboration between BUas, HAN, HR, and HvA creates more critical mass. LILS activities are structured around four pillars:- Developing a joint research and innovation program in a roadmap;- Further integrating various knowledge domains on the research themes;- Deepening methodological approaches, enhancing collaboration between universities and partners in projects, and innovating education (LILS knowledge hub);- Establishing an organizational excellence program to improve research professionalism and quality.These pillars form the basis for initiating and executing challenging, externally funded multidisciplinary research projects. LILS is well-positioned in regions where innovations are implemented and has a strong national and international network and proven research experience.Societal issue:Last-mile logistics is crucial due to its visibility, small deliveries, high costs, and significant impact on emissions, traffic safety, and labor hours. Lastmile activities are predicted to grow a 20% growth in the next decade. Key drivers for change include climate agreements and energy transitions, urban planning focusing on livability, and evolving retail landscapes and consumer behavior. Solutions involve integrating logistics with spatial planning, influencing purchasing behavior, and leveraging digitalization for better data integration and communication. Digital twins and the Physical Internet concept can enhance efficiency through open systems, data sharing, asset sharing, standardization, collaboration protocols, and modular load units.Key partners: Buas, HR, HAN, HvAPartners: TNO, TU Delft, Gemeente Rotterdam, Hoger Onderwijs Drechtsteden, Significance, Metropolitan Hub System, evofenedex, Provincie Gelderland, Duurzaam Bereikbaar Heijendaal, Gemeente Alphen aan den Rijn, Radboud Universiteit, I&W - DMI, DHL, TLN, Noorderpoort, Fabrications, VUB, Smartwayz, RUG, Groene Metropoolregio.

Ongoing

project

NorthSEE

Project aimsNorthSEE aims to achieve greater coherence in Maritime Spatial Planning (processes; MSP) and in Maritime Spatial Plans (outcomes/solutions), capturing synergies and preventing incompatibilities in the North Sea Region (NSR). The project seeks to create better conditions for sustainable development of the area in the fields of shipping, energy and environmental protection. NorthSEE is possible thanks to the financial support from the Interreg North Sea Region programme of the European Union (European Regional Development Fund).Project tasks and resultsTo suggest a multi-level coordination framework capable of supporting ongoing coordination in MSP across the NSR in the long term. To develop an information and planning platform for MSP, enabling planners and stakeholders to share evidence for MSP and test different planning options in the form of scenarios based on real data. The MSP Challenge computer-supported simulation game will became this platform. To increase the capacity of stakeholders in key transnational sectors to actively contribute to MSP To align approaches for taking into account wider environmental issues in MSP To facilitate greater transnational coherence in MSP with respect to offshore energy infrastructure To achieve greater transnational coherence in using MSP to support environmental protection objectives. To facilitate greater transnational coherence in MSP with respect to shipping routes.Our roleThe Academy for Digital Entertainment (ADE) of Breda University of Applied Sciences is a full partner in this project. ADE is responsible for designing and developing the MSP Challenge simulation game concerning the NSR, as well as facilitating its application, all with the aim of developing insights befitting the project aims and thus Maritime Spatial Planning in the North Sea Region (see task 2). We therefore work closely with all NorthSEE partners to define the right requirements and ensure that the simulation game fulfills them. Multiple MSP Challenge sessions are planned to help develop insightful future scenarios and useful planning solutions for the NSR. More information about MSP Challenge is available on NorthSEE (https://northsearegion.eu/northsee) and on its own website (https://www.mspchallenge.info/).

Finished

project

SunCET - In situ performance test of an atmospheric water generation system in semi-arid region

Climate change has impacted our planet ecosystem(s) in many ways. Among other alterations, the predominance of long(er) drought periods became a point of concern for many countries. A good example is The Netherlands, a country known by its channels and abundant surface water, which has listed “drought effect mitigation” among the different topics in the last version of its “Innovation Agenda” (Kennis en Innovatie Agenda, KIA). There are many challenges to tackle in such scenario, one of them is solutions for small/decentralized communities that suffer from dry-up of surface reservoirs and have no groundwater source available. Such sites are normally far from big cities and coastal zones, which impair the supply via distribution networks. In such cases, Atmospheric Water Generation (AWG) technologies are a plausible solution. These systems have relatively small production rates (few m3 per day), but they can still provide enough volume for cities with up to 100k inhabitants. Despite having real scale systems already installed in different locations worldwide, most systems are between TRL 5 and 6. Thus need further development. SunCET proposes an in-situ evaluation of an AWG system (WaterWin) developed by two different Dutch companies (Solaq and Sustainable Eyes) in the Brazilian semi-arid state of Ceará. The cooperation with NHL Stenden will provide the necessary expertise, analytical and technical support to conduct the tests. The state government of Ceará built an infrastructure to support the realization of in-situ tests, as they want to further accelerate technology implementation in the state. Such structure will make it possible to share costs and decrease total investments for the SMEs. Finally, it is also intended to help establishing partnerships between Dutch SMEs and Brazilian end users, i.e. municipalities of the Ceará state and small agriculture companies in the region.

Finished

Editorials 2

editorial

Vijf vragen over studeren in een living lab

editorial

Woon jij straks ook energiepositief?

Products 686

product

Imagining energy potential

DOCUMENT

product

Onderzoeksagenda Nationaal Lectorenplatform Urban Energy

DOCUMENT

product

Local energy planning in the built environment: An analysis of model characteristics

LINK

product

Building and building systems energy prediction models to enhance energy flexibility control

DOCUMENT

product

Targeting Energy Management

DOCUMENT

People 3

person

PM Peeters

Professor

person

Rana Habibi

Researcher and Lecturer in Urban Design

person

Sandra Bellekom

Projects 10

project

Energy Systems in Transition / Transforming regions

Finished

project

INTRALOG - Intelligent Truck Applications in Logistics

Finished

project

Knowledge Flows in Marine Spatial Planning : Sharing Innovation in Higher Education

Finished

project

LILS (SPRONG groep Low Impact Lastmile logisticS)

Ongoing

project

NorthSEE

Finished

project

SunCET - In situ performance test of an atmospheric water generation system in semi-arid region

Finished

Editorials 2

editorial

Vijf vragen over studeren in een living lab

editorial

Search results

Products 686

Imagining energy potential

Onderzoeksagenda Nationaal Lectorenplatform Urban Energy

Local energy planning in the built environment: An analysis of model characteristics

Building and building systems energy prediction models to enhance energy flexibility control

How to plan for success? An exploration of neighbourhood energy planning

Een vrije energiemarkt met centrale planning

Targeting Energy Management

Involving citizens in heat planning

Serious gaming to stimulate participatory urban tourism planning

People 3

PM Peeters

Rana Habibi

Sandra Bellekom

Projects 10

Energy Systems in Transition / Transforming regions

INTRALOG - Intelligent Truck Applications in Logistics

Knowledge Flows in Marine Spatial Planning : Sharing Innovation in Higher Education

LILS (SPRONG groep Low Impact Lastmile logisticS)

NorthSEE

Oprichting ESTRAC

STUDIO 21CS

SunCET - In situ performance test of an atmospheric water generation system in semi-arid region

Virtual Twin Demonstrator for the Turbidity around Offshore Wind Monopile(s)

Editorials 2

Vijf vragen over studeren in een living lab

Woon jij straks ook energiepositief?

Navigate to

Categories

Filters

Products 686

Imagining energy potential

Onderzoeksagenda Nationaal Lectorenplatform Urban Energy

Local energy planning in the built environment: An analysis of model characteristics

Building and building systems energy prediction models to enhance energy flexibility control

How to plan for success? An exploration of neighbourhood energy planning

Een vrije energiemarkt met centrale planning

Targeting Energy Management

Involving citizens in heat planning

Serious gaming to stimulate participatory urban tourism planning

People 3

PM Peeters

Rana Habibi

Sandra Bellekom

Projects 10

Energy Systems in Transition / Transforming regions

INTRALOG - Intelligent Truck Applications in Logistics

Knowledge Flows in Marine Spatial Planning : Sharing Innovation in Higher Education

LILS (SPRONG groep Low Impact Lastmile logisticS)

NorthSEE

Oprichting ESTRAC

STUDIO 21CS

SunCET - In situ performance test of an atmospheric water generation system in semi-arid region

Virtual Twin Demonstrator for the Turbidity around Offshore Wind Monopile(s)

Editorials 2

Vijf vragen over studeren in een living lab

Woon jij straks ook energiepositief?