Abstract

In an Energy Positive Neighbourhood (EPN) the annual energy demand is lower than annual energy supply from local renewable energy sources. Short-term imbalances in energy supply and demand are corrected with national energy supplies. In this paper the early stages of the development - the specifications - of the tools for intelligent management of energy positive neighbourhoods are presented. These tools include an energy management tool for real-time management of the energy flows, user interfaces that support energy efficient behavior of the users in the neighbourhood and an urban planning decision support tool. The specifications and tools are the result of European co-operation, and are designed so that they can easily be adopted in different European countries with minimum changes.

Highlights

  • Direction towards sustainable development requires incorporation of renewable energy production and use into economic routine of organizations and households

  • Two versions of the Energy Positive Neighbourhood Service Provider (EPNSP) business models were created in the project (Crosbie et al 2014): “To realise an EPN it will be necessary to encourage a new type of service provider that offers tailored services which engage whole communities in Demand Side Management (DSM), Supply Side Management (SSM), energy trading, investment in renewable energy production and energy storage and careful consideration of future design options for the urban environment

  • The tool will enable the user of the tool to compare different planning options with regard to the costs and ROI, and the other aspects contributing to the value proposition, like energy balance and CO2 emissions of the area

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Summary

Introduction

Direction towards sustainable development requires incorporation of renewable energy production and use into economic routine of organizations and households. In this paper the early stages of the development - the specifications - of the tools for intelligent management of energy positive neighbourhoods are presented. This is one of the first attempts to balance the energy demand and supply on a neighbourhood level in real time, simultaneously regarding more than one type of energy variable. A total of 9 functional uses cases have been identified for the IDEAS project, based on the user requirements capture in earlier stages of the project (Huovila et al 2013). Urban Planning (Finnish demo regarding energy flows on the greenhouse gas emissions, costs and site) energy balance

Decision Support for Energy
Decision Support for
Educational 3D Virtual Space
Business models
User interfaces
Long term energy planning
Conclusions

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