Het platform voor open praktijkgericht onderzoek

product

Towards an integrated positive energy district landscape

BackgroundThis research study applied the 'Integrated Energy Landscape Approach and the Ecosystem Services Framework' to formulate a pre-proposal for a Positive Energy District in the Hoogkerk Zuid neighborhood in Groningen, the Netherlands.ResultsThe proposed energy saving and energy generation interventions are sufficient to cover the energy usage of the district, while an energy surplus is generated. The pre-proposal has been developed within a participatory process, organized by the authors in close collaboration with key local stakeholders. The identification of local ecosystem services served as a crucial starting point for this study, while it also served for the basis for analysing the subsequent trade-offs and synergies derived from the proposed energy transition interventions. Then, a sustainable business case model was developed based on this Positive Energy District pre-proposal. The main outcome of the model lies in the value creation through cost savings from not using traditional energy sources and selling electricity to the grid. In addition, the economic value of the preserved ecosystem services and of the synergies generated by the pre-proposal are also included in the model.ConclusionsBeyond the local case, the results lay the groundwork for more systematic studies on merging the methodologies of Positive Energy District development, the Ecosystem Framework and the Integrated Energy Landscape approach. Finally, by adding the benefits of ecosystem services and synergies as a significant contributor in the financial analysis and decision-making process, this study opens the door to a new approach to the evaluation of sustainable projects.

DOCUMENT

product

Towards an Integrated Positive Energy District Landscape:

This research study applied the Integrated Energy Landscape Approach and the Ecosystem Services Framework in order to formulate a pre-proposal for a Positive Energy District in the Hoogkerk Zuid neighborhood in Groningen, the Netherlands. The proposed interventions are sufficient to cover the energy usage of the district, while an energy surplus is generated. The pre-proposal has been developed within a participatory process, organized by the authors in close collaboration with key local stakeholders. The identification of the local ecosystem services served as a crucial starting point for this study, while it also provided the transparent information base for analyzing the subsequent trade-offs and synergies derived by the proposed energy transition interventions. Then, a sustainable business case model has been developed based on this Positive Energy District pre-proposal. The main outcome of the model lies within the value creation through cost savings from foregoing traditional energy sources and sale of electricity to the grid, but also through including the economic value of ecosystem services and synergies when integrating the Renewable Energy Technologies. Beyond the local case, the findings lay the groundwork for more systematic studies on merging the methodologies of Positive Energy District development, the Ecosystem Framework and the Integrated Energy Landscape approach. Finally, by adding the benefits of ecosystem services and synergies as a significant contributor in the financial analysis and decision making process, this study opens the door for a new approach of valuing sustainable projects.

DOCUMENT

product

Reviewing Challenges and Limitations of Energy Modelling Software in the Assessment of PEDs Using Case Studies

Positive Energy Districts (PEDs) have the potential of accelerating the decarbonization of urban areas and promoting scalability between cities. The development and real-world implementation of such innovative concepts can be enhanced through urban energy modelling. However, assessing PEDs can be challenging, and information on this topic is scarce and fragmented. The main contribution of this paper is collecting and analyzing challenges and limitations of energy modelling software for assessing PEDs through five case studies in Italy, Spain, The Netherlands, Denmark and Canada. Case studies are assessed first from a modelling approach, then the main identified challenges and limitations of modelling tools for PEDs are discussed, and finally, various ongoing trends and research needs in this field are suggested.

DOCUMENT

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

Assessing the performance of Positive Energy Districts: The need for innovative methods

Positive Energy Districts (PEDs) are potential high-impact climate change mitigation actions towards low carbon or even climate neutral cities. This implies that the energy performance and greenhouse gas emissions of PEDs need to be assessed. To this end, an accounting methodology, metrics, supporting (accounting) tools, and reporting are necessary that capture the full energy and climate impact of PEDs. The European Commission's Building Energy Specification Table (BEST) provides a methodological approach for calculating the energy balance of PEDs. The BEST is a formal requirement of the European Commission's proposal process, with respect to the Horizon 2020 funding program. An improved methodology for calculating the annual energy balance of a of PED, based on the international standard ISO52000, was developed by the Making City project in 2020. In this paper, we evaluate and compare accounting methods for assessing the energy performance of PEDs and conclude on their use and shortcomings. The hypothesis to be explored is that current accounting practices are based on accounting at a building level and alternative methodologies are needed to capture the full impacts at a district level. To this end, we apply the current approaches on the ATELIER project's PED pilot in Buiksloterham, Amsterdam, which will serve as a case study to illustrate the differences in outcomes and in the use of the results in evaluation and policy making. Consequently, we reflect and recommend on improved approaches and methodologies.

DOCUMENT

Assessing the performance of Positive Energy Districts: The need for innovative methods

product

The Benefits of Positive Energy Districts

Positive Energy Districts (PEDs) are a promising approach to urban energy transformation, aiming to optimize local energy systems and deliver environmental, social and economic benefits. However, their effectiveness and justification for investment rely on understanding the additional value they provide (additionality) in comparison to current policies and planning methods. The additionality perspective is not used yet in current evaluations of PED demonstrations and pilots. Therefore, this paper introduces the concept of additionality in the evaluation of PEDs, focusing on the additional benefits they bring and the circumstances under which they are most effective. We discuss the additionality of PEDs in addressing the challenges of climate neutrality and energy system transformation in three European cities that are funded by the European Commission’s H2020 Programme. It should be noted that given the ongoing status of these projects, the assessment is mainly based on preliminary results, as monitoring is still ongoing and quantitative results are not yet available. The paper discusses the drivers and barriers specific to PEDs, and highlights the challenges posed by technical complexities, financing aspects and social and legal restrictions. Conclusions are drawn regarding the concept of additionality and its implications for the wider development of PEDs as a response to the challenges of climate neutrality and energy system transformation in cities. We conclude that the additionality perspective provides valuable insights into the impact and potential of PEDs for societal goals and recommend this approach for use in the final evaluation of R&I projects involving PEDs using actual monitored data on PEDs.

DOCUMENT

The Benefits of Positive Energy Districts

product

Increasing the attractiveness of district heating networks to consumers

This report has been established within the Flexiheat project. Flexiheat has focused on increasing flexibility in district heating systems. The intelligent district heating network is a dynamic network: an open network where different waste heat and renewable energy sources are connected, that has multiple producers and groups of consumers and facilitates the connection between different energy infrastructures (gas, heat and electricity). Eventually this will lead to an optimal deployment of the available heat sources and an increased cost-efficiency of district heating. Flexiheat aims to develop new concepts for these intelligent, flexible district heating networks. One of the strategies is to allow third party access to the network. A smart control system is developed to manage the heat flows across the network. This system makes use of dynamic pricing. In this exploration the concept of third party access in relation to the Flexiheat project will be discussed. The development of new business and price models based on the Flexiheat approach has led to an analysis of possible alternative price models for consumers.

DOCUMENT

Increasing the attractiveness of district heating networks to consumers

product

Collaboration in the local DHC-chain: A bottom-up integrated framework fostering broad-based solutions

The sustainable energy transition asks for new and innovative solutions in the way society, government, energy market and clients (end users) approach energy distribution and consumption. The energy transition provides great opportunity to develop innovative solutions where in the dense built environment district heating and cooling are being strongly advocated.Traditionally, the energy systems in urban districts have been regulated by a top-down approach. With the rise of local and distributed sustainable sources for urban heating and cooling, the complexity of the heat/cold chain is increasing. Therefore, an organic and bottom-up approach is being requested, where the public authorities have a facilitating and/or directive role. There is a need for a new and open framework for collaboration between stakeholders. A framework that provides insight into the integral consideration of heating and cooling solutions on district level in terms of: organisation, technology and economy (OTE). This research therefore focuses on developing this integral framework towards widely supported heating and cooling solutions among district stakeholders.Through in-depth interviews, workshops and focus groups discussions, relevant stakeholders in local district heating/cooling of varying backgrounds and expertise have been consulted. This has led to two pillars in a framework. Firstly the definition of Key Success Factors and Key Performance Indicators to evaluate technical solutions in light of the respective context. Secondly, an iterative decision making process among district stakeholders where technical scenarios, respective financial business cases and market organisation are being negotiated. Fundamental proposition of the framework is the recurrent interaction between OTE factors throughout the entire decision making process. In order to constantly assure broad-based support, the underlying nature of possible barriers for collaboration are identified in a stakeholder matrix, informing a stakeholder strategy. It reveals an open insight of the interests, concerns, and barriers among all stakeholders, where solutions can be developed effectively.

DOCUMENT

Collaboration in the local DHC-chain: A bottom-up integrated framework fostering broad-based solutions

product

Stakeholder Engagement for a Local Energy Community in Energy Transition– Case of De Heuvel/Amstelwijk

The goal of a local energy community (LEC) is to create a more sustainable, resilient, and efficient energy system by reducing dependence on centralized power sources and enabling greater participation and control by local communities and individuals. LEC requires transformations in local energy systems, and strongly depends on the preferences and actions of the local actors involved. The necessity for extensive stakeholder involvement adds complexity to the energy transition, posing a significant challenge for all involved parties. The municipality of Leidschendam-Voorburg has committed to the national decision for energy transition. It has taken a strategic approach by proceeding De Heuvel/Amstelwijk as the pioneer in this initiative, leading the way for other neighborhoods to follow. It is crucial to devise strategies that effectively facilitate stakeholder engagement. To this end, a thorough stakeholder analysis is needed. Such an analysis can focus on the identification of key stakeholders, their interests, their influence, and their behavioral characteristics in relation to the energy transition. Additionally, it's crucial to uncover the challenges encountered by these stakeholders and finally develop appropriate strategies to address them hence enhance their engagement. This thesis begins with an introduction to the research background, including a presentation of the case study and a statement of the problem identified in the field, followed by the research questions underpinning the study. A thorough literature review ensues, providing a robust synthesis of existing research relating to stakeholder engagement in LECs, with a view to expediting energy transitions. The literature review not only forms the foundation for the research methods adopted in this study but also promotes in the construction of the conceptual model. Subsequent to the literature review, the research method is detailed. The filed research is conducted in five steps: Step 1 - identification of stakeholders, Step 2 - prioritization of stakeholders, Step 3 - interviewing, Step 4 - data analysis, including stakeholder profiling with mapping and addressing challenges, and finally, Step 5 - proposal of strategies for stakeholder engagement enhancement based on the expected and current levels of stakeholders engagement. This research collects necessary information to understand the profiles of stakeholders in De Heuvel/Amstelwijk, tackle challenges faced by different stakeholders, propose strategies to increase stakeholders engagement. It not only aims to enrich the depth of theoretical knowledge on the subject matter but also strives to aid in the development of a localized energy strategy that is optimally suited for the De Heuvel/Amstelwijk neighborhood as good example for other neighborhoods.

DOCUMENT

Zoekresultaten

Producten 131

Towards an integrated positive energy district landscape

Towards an Integrated Positive Energy District Landscape:

Reviewing Challenges and Limitations of Energy Modelling Software in the Assessment of PEDs Using Case Studies

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

Assessing the performance of Positive Energy Districts: The need for innovative methods

The Benefits of Positive Energy Districts

Increasing the attractiveness of district heating networks to consumers

Collaboration in the local DHC-chain: A bottom-up integrated framework fostering broad-based solutions

Stakeholder Engagement for a Local Energy Community in Energy Transition– Case of De Heuvel/Amstelwijk

Personen 36

Adriaan van Liempt

Beata Kviatek

Charné Theron

Alicia Milani

Andras Perl

Austin D'Souza

Bart ter Veer

Christian van Someren

Clemens Bernardt

Navigeer naar

Categorieën

Filters

Producten 131

Towards an integrated positive energy district landscape

Towards an Integrated Positive Energy District Landscape:

Reviewing Challenges and Limitations of Energy Modelling Software in the Assessment of PEDs Using Case Studies

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

Assessing the performance of Positive Energy Districts: The need for innovative methods

The Benefits of Positive Energy Districts

Increasing the attractiveness of district heating networks to consumers

Collaboration in the local DHC-chain: A bottom-up integrated framework fostering broad-based solutions

Stakeholder Engagement for a Local Energy Community in Energy Transition– Case of De Heuvel/Amstelwijk

Personen 36

Adriaan van Liempt

Beata Kviatek

Charné Theron

Alicia Milani

Andras Perl

Austin D'Souza

Bart ter Veer

Christian van Someren

Clemens Bernardt