Towards positive energy communities at high latitudes

Hassam ur Rehman (Corresponding Author), Francesco Reda, Satu Paiho, Ala Hasan

    Research output: Contribution to journalArticleScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Solar and wind energy are the significant renewable energy sources that can be used to tackle the climate change issue. The aim of the study is to design and compare different architectures of community-level energy systems, in order to find a positive energy community in cold climate. The design proposed is a centralized solar district heating network, which is integrated with renewable-based electricity network to meet the heating and electrical demand of a community of 100 houses. The renewable-based energy system consists of photovoltaic panels, wind turbines and stationary electrical storage. In present study the demand of the building appliances, district heating network auxiliaries and electric vehicles are included. TRNSYS is used to simulate these systems. Lastly, multi-objective optimization is done using MOBO (Multi-objective optimization tool). The objective of the optimization problem is to minimize two objective functions-the imported electricity and the life cycle costs. The onsite energy fraction, matching and exported electricity are also evaluated for comparison. The optimization results illustrate that in terms of imported energy, the cases with 600 kW (200 wind turbines) and storages are better compared to the cases without the turbines and storage. For the high performing system (200 turbines with storages and 75 electric vehicles), the corresponding onsite energy fraction (OEF) varied from 1% to 97% and the onsite energy matching (OEM) varied from 76% to 62%, respectively, while the imported electricity can be reduced to 2 kWh/m2/yr. However without storage, the onsite energy fraction (OEF) varied from 1% to 58% and the onsite energy matching (OEM) varied from 90% to 27% respectively. In all the systems, initially investments are made in the wind turbines, storages and lastly in the photovoltaic panels to improve the performance of the optimized solutions. It is found that storages can improve the onsite fraction and matching. Moreover, photovoltaic becomes more important in the cases with higher number of electric vehicles.
    Original languageEnglish
    Pages (from-to)175-195
    Number of pages21
    JournalEnergy Conversion and Management
    Volume196
    DOIs
    Publication statusPublished - Sep 2019
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Electricity
    Electric vehicles
    Wind turbines
    District heating
    Multiobjective optimization
    Turbines
    Solar heating
    Climate change
    Solar energy
    Wind power
    Electron energy levels
    Life cycle
    Heating
    Costs

    Keywords

    • renewable energy community
    • electric vehicle
    • energy self-sufficiency
    • electrical storages
    • seasonal storage
    • multi-objective optimization

    Cite this

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    title = "Towards positive energy communities at high latitudes",
    abstract = "Solar and wind energy are the significant renewable energy sources that can be used to tackle the climate change issue. The aim of the study is to design and compare different architectures of community-level energy systems, in order to find a positive energy community in cold climate. The design proposed is a centralized solar district heating network, which is integrated with renewable-based electricity network to meet the heating and electrical demand of a community of 100 houses. The renewable-based energy system consists of photovoltaic panels, wind turbines and stationary electrical storage. In present study the demand of the building appliances, district heating network auxiliaries and electric vehicles are included. TRNSYS is used to simulate these systems. Lastly, multi-objective optimization is done using MOBO (Multi-objective optimization tool). The objective of the optimization problem is to minimize two objective functions-the imported electricity and the life cycle costs. The onsite energy fraction, matching and exported electricity are also evaluated for comparison. The optimization results illustrate that in terms of imported energy, the cases with 600 kW (200 wind turbines) and storages are better compared to the cases without the turbines and storage. For the high performing system (200 turbines with storages and 75 electric vehicles), the corresponding onsite energy fraction (OEF) varied from 1{\%} to 97{\%} and the onsite energy matching (OEM) varied from 76{\%} to 62{\%}, respectively, while the imported electricity can be reduced to 2 kWh/m2/yr. However without storage, the onsite energy fraction (OEF) varied from 1{\%} to 58{\%} and the onsite energy matching (OEM) varied from 90{\%} to 27{\%} respectively. In all the systems, initially investments are made in the wind turbines, storages and lastly in the photovoltaic panels to improve the performance of the optimized solutions. It is found that storages can improve the onsite fraction and matching. Moreover, photovoltaic becomes more important in the cases with higher number of electric vehicles.",
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    author = "Rehman, {Hassam ur} and Francesco Reda and Satu Paiho and Ala Hasan",
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    Towards positive energy communities at high latitudes. / Rehman, Hassam ur (Corresponding Author); Reda, Francesco; Paiho, Satu; Hasan, Ala.

    In: Energy Conversion and Management, Vol. 196, 09.2019, p. 175-195.

    Research output: Contribution to journalArticleScientificpeer-review

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