Local Alternative for Energy Supply: Performance Assessment of Integrated Community Energy Systems

Integrated community energy systems (ICESs) are emerging as a modern development to re-organize local energy systems allowing simultaneous integration of distributed energy resources (DERs) and engagement of local communities. Although local energy initiatives, such as ICESs are rapidly emerging due to community objectives, such as cost and emission reductions as well as resiliency, assessment and evaluation are still lacking on the value that these systems can provide both to the local communities as well as to the whole energy system. In this paper, we present a model-based framework to assess the value of ICESs for the local communities. The distributed energy resources-consumer adoption model (DER-CAM) based ICES model is used to assess the value of an ICES in the Netherlands. For the considered community size and local conditions, grid-connected ICESs are already beneficial to the alternative of solely being supplied from the grid both in terms of total energy costs and CO2 emissions, whereas grid-defected systems, although performing very well in terms of CO2 emission reduction, are still rather expensive.

[1]  P. Devine‐Wright,et al.  Trust and community: Exploring the meanings, contexts and dynamics of community renewable energy , 2010 .

[2]  David Elliott,et al.  Renewable Energy Systems: A Smart Energy Systems Approach to the Choice and Modeling of 100% Renewable Solutions, 2nd ed., H. Lund (Ed.). Elsevier (2014), 383 pp. Hardcover, $99.95, ISBN: 9780124104235 , 2014 .

[3]  Kristina Orehounig,et al.  Integration of decentralized energy systems in neighbourhoods using the energy hub approach , 2015 .

[4]  M. Parsa Moghaddam,et al.  Optimal planning of hybrid renewable energy systems using HOMER: A review , 2016 .

[5]  K. Costello,et al.  Electric Utilities’ ‘Death Spiral’: Hyperbole or Reality? , 2014 .

[6]  Paulien M. Herder,et al.  Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems , 2016 .

[7]  P. Devine‐Wright,et al.  Community renewable energy: What should it mean , 2008 .

[8]  Salvatore Carlucci,et al.  A Review of Systems and Technologies for Smart Homes and Smart Grids , 2016 .

[9]  Toshihisa Funabashi,et al.  Integration of Distributed Energy Resources in Power Systems : Implementation, Operation and Control , 2016 .

[10]  Guohe Huang,et al.  A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty , 2011 .

[11]  Nilay Shah,et al.  Optimisation based design of a district energy system for an eco-town in the United Kingdom , 2011 .

[12]  Christos S. Ioakimidis,et al.  On the planning and analysis of Integrated Community Energy Systems: A review and survey of available tools , 2011 .

[13]  Ivo Bouwmans,et al.  Socio-Technical Complexity in Energy Infrastructures Conceptual Framework to Study the Impact of Domestic Level Energy Generation, Storage and Exchange , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[14]  Brian Vad Mathiesen,et al.  The role of district heating in future renewable energy systems , 2010 .

[15]  Ignacio J. Pérez-Arriaga,et al.  The remuneration challenge : new solutions for the regulation of electricity distribution utilities under high penetrations of distributed energy resources and smart grid technologies , 2014 .

[16]  Javier Reneses,et al.  Time-based pricing and electricity demand response: Existing barriers and next steps , 2016 .

[17]  Michael Stadler,et al.  Value streams in microgrids: A literature review , 2016 .

[18]  Michael R. Bussieck,et al.  General Algebraic Modeling System (GAMS) , 2004 .

[19]  Dev Tayal,et al.  Disruptive forces on the electricity industry: A changing landscape for utilities , 2016 .

[20]  Henrik Lund,et al.  Integrated energy systems and local energy markets , 2006 .

[21]  José Pablo Chaves-Ávila,et al.  Demand response in liberalized electricity markets: Analysis of aggregated load participation in the German balancing mechanism , 2014 .

[22]  Peter Lund,et al.  Smart energy system design for large clean power schemes in urban areas , 2015 .

[23]  Tineke van der Schoor,et al.  Power to the people: Local community initiatives and the transition to sustainable energy , 2015 .

[24]  Michael D. Lepech,et al.  Modeling and optimization of building mix and energy supply technology for urban districts , 2015 .

[25]  Henrik Lund,et al.  Renewable Energy Systems: A Smart Energy Systems Approach to the Choice and Modeling of 100% Renewable Solutions , 2014 .

[26]  Tomás Gómez San Román,et al.  Electricity services in a more distributed energy system , 2016 .

[27]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[28]  Waldo Saul Pérez-Aguiar,et al.  Business Models in the Smart Grid: Challenges, Opportunities and Proposals for Prosumer Profitability , 2014 .

[29]  Ying Li,et al.  The implications of CO2 price for China’s power sector decarbonization , 2015 .

[30]  Ana Paula Barbosa-Póvoa,et al.  Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicle driving schedules , 2014 .

[31]  James Keirstead,et al.  A brief history and the possible future of urban energy systems , 2012 .

[32]  Heat pump and micro-CHP as complementary boiler alternatives , 2014 .

[33]  Vasilis Kostakis,et al.  A peer-to-peer approach to energy production , 2015 .

[34]  G. Walker,et al.  Community energy systems , 2012 .

[35]  Lucia Gauchia,et al.  Emerging economic viability of grid defection in a northern climate using solar hybrid systems , 2016 .

[36]  Jose Villar,et al.  Optimal planning and operation of aggregated distributed energy resources with market participation , 2016 .

[37]  Jessica A. Lovell,et al.  Electricity-specific emission factors for grid electricity August 2011 , 2011 .

[38]  Hongjie Jia,et al.  Hierarchical management for integrated community energy systems , 2015 .

[39]  Daniel S. Kirschen,et al.  Centralised and distributed electricity systems , 2008 .

[40]  Aqeel Ahmed Bazmi,et al.  Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review , 2011 .

[41]  Rajab Khalilpour,et al.  Leaving the grid: An ambition or a real choice? , 2015 .

[42]  Gordon Walker,et al.  What are the barriers and incentives for community-owned means of energy production and use? , 2008 .

[43]  Fiona Bradley,et al.  Energy autonomy in sustainable communities—A review of key issues , 2012 .

[44]  Kerstin Tews,et al.  Decentralised laboratories in the German energy transition. Why local renewable energy initiatives must reinvent themselves , 2017 .

[45]  R. Hakvoort,et al.  Managing electric flexibility from Distributed Energy Resources: A review of incentives for market design , 2016 .

[46]  Alberto Borghetti,et al.  Chapter 2 – Integration of distributed energy resources in distribution power systems , 2016 .

[47]  Henrik Lund,et al.  Modelling of energy systems with a high percentage of CHP and wind power , 2003 .