In 2017 the municipality of Amsterdam launched a programme to combat a housingshortage and realise ambitious societal goals for 32 of its most deprived neighbourhoods. After decades of urban renewal projects, these areas still scored poorly on most socio-economic indicators. The programme aims to develop more affordable housing for low- and middleincome households, to revitalise the existing public spaces of these neighbourhoods and to improve the residents’ socio-economic position. In addition, the progressive municipal council installed in 2018 intends to democratise urban renewal processes with the aim of increasing community involvement.
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Decentralised renewable energy production in the form of fuels or electricity can have large scale deployment in future energy systems, but the feasibility needs to be assessed. The novelty of this paper is in the design and implementation of a mixed integer linear programming optimisation model to minimise the net present cost of decentralised hydrogen production for different energy demands on neighbourhood urban scale, while simultaneously adhering to European Union targets on greenhouse gas emission reductions. The energy system configurations optimised were assumed to possibly consist of a variable number or size of wind turbines, solar photovoltaics, grey grid electricity usage, battery storage, electrolyser, and hydrogen storage. The demands served are hydrogen for heating and mobility, and electricity for the households. A hydrogen residential heating project currently being developed in Hoogeveen, The Netherlands, served as a case study. Six scenarios were compared, each taking one or multiple energy demand services into question. For each scenario the levelised cost of hydrogen was calculated. The lowest levelised cost of hydrogen was found for the combined heating and mobility scenario: 8.36 €/kg for heating and 9.83 €/kg for mobility. The results support potential cost reductions of combined demand patterns of different energy services. A sensitivity analysis showed a strong influence of electrolyser efficiency, wind turbine parameters, and emission reduction factor on levelised cost. Wind energy was strongly preferred because of the lower cost and the low greenhouse gas emissions, compared to solar photovoltaics and grid electricity. Increasing electrolyser efficiency and greenhouse gas emission reduction of the used technologies deserve further research.
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As in many large European Cities, Amsterdam is confronted with a large housing boom, partially fuelled by shortcomings in (affordable) housing development. Simultaneously, there is a persistent need to improve neighbourhoods with a weak socioeconomic status. The municipal government aims to both, develop major housing schemes and designate redevelopment areas. In 2017, Amsterdam presented a new urban renewal program for 32 designated deprived neighbourhoods in three boroughs. The program sets out physical housing ambitions, but also intends to anticipate and integrally address social, economic and ecological challenges. To ensure the developments are inclusive, the active involvement of local communities in the decision making process is central part of the new policy. However, a large body of planning literature emphasizes the tendency of large redevelopment processes to become exclusive rather than inclusive. To avoid these pitfalls, new spatial and programmatic governance arrangements may need to be developed. In close collaboration with the municipality and local communities, we conduct empirical action-research on Amsterdam’s urban regeneration program to develop and test promising solutions with practice. The paper analyses the planning process as it evolves. Based on framing theory, we structure and analyse the expected governance barriers hindering the inclusivity during the course of the planning process. The insights gathered regarding inclusivity provide critical input in the conceptualisation of new more forceful inclusive spatial planning strategies. In conclusion, a variety of spatial and programmatic governance arrangements are presented to reinforce the inclusivity of planning processes for a sustained impact of large-scale urban renewal programs.
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