City-integrated renewable energy design for low-carbon and climate-resilient communities

Bagheri, Mehdi; Delbari, Seyed Hamid; Pakzadmanesh, Mina; Kennedy, Christopher

doi:10.1016/j.apenergy.2019.02.031

Cited by 103 publications

(33 citation statements)

References 44 publications

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“…Combining early, at the design stage, conventional energy sources and energy obtained from renewable sources immunizes systems against climate change. Bagheri et al for that purpose proposed the creation of urban hybrid renewable energy systems that through optimal planning, will allow the use of energy on a neighborhood scale, taking into account the real-time of the electric load of the city [16]. An interesting solution proposed in Polish work [17] is the creation of energy cooperatives based on local communities that produce energy using renewable energy sources and use it for their own needs.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

et al. 2020

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Improving in the energy efficiency of urban buildings, and maximizing the savings and the resulting benefits require information support from city decision-makers, planners, and designers. The selection of the appropriate analytical methods will allow them to make optimal design and location decisions. Therefore, the research problem of this article is the development of an innovative decision support system using multi-criteria analysis and Geographic Information Systems (decision support system + Geographic Information Systems = DGIS) for planning urban development. The proposed decision support system provides information to energy consumers about the location of energy efficiency improvement potential. This potential has been identified as the possibility of introducing low-energy buildings and the use of renewable energy sources. DGIS was tested in different construction areas (categories: A, B, C, D), Zielona Góra quarters. The results showed which area among the 53 quarters with a separate dominant building category was the most favorable for increasing energy efficiency, and where energy efficiency could be improved by investing in renewable energy sources, taking into account the decision-maker. The proposed DGIS system can be used by local decision-makers, allowing better action to adapt cities to climate change and to protect the environment. This approach is part of new data processing strategies to build the most favorable energy scenarios in urban areas.

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Section: Introductionmentioning

confidence: 99%

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

et al. 2020

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“…The energy system is usually designed for all considered sectors. By contrast, in Bagheri et al [39] the residential, commercial and industrial sectors are examined in separate analyses. Thereby, the energy system for the industrial sector shows the lowest levelized cost of electricity (LCOE) in the autonomous case with 100% renewable energies.…”

Section: Consumption Sectorsmentioning

confidence: 98%

“…This country classification is based on the gross national income per capita [387]. [51,92,136], Cameroon [96,127], Egypt [114], Ghana [27,29], India [30,34,[46][47][48]59,60,73,74,78,82,88,94,102,107,108,110,115,116,131,133], Indonesia [33,121], Nigeria [28,137,139], Pakistan [72,76,111] [41,58], Austria [118], Canada [39,40,106,123,145], Croatia [52,80,117], Denmark [53,...…”

Section: Spatial Resolution and Locationmentioning

confidence: 99%

Reviewing energy system modelling of decentralized energy autonomy

Weinand

Scheller

McKenna

2020

Energy

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Research attention on decentralized autonomous energy systems has increased exponentially in the past three decades, as demonstrated by the absolute number of publications and the share of these studies in the corpus of energy system modelling literature. This paper shows the status quo and future modelling needs for research on local autonomous energy systems. A total of 359 studies are roughly investigated, of which a subset of 123 in detail. The studies are assessed with respect to the characteristics of their methodology and applications, in order to derive common trends and insights. Most case studies apply to middle-income countries and only focus on the supply of electricity in the residential sector. Furthermore, many of the studies are comparable regarding objectives and applied methods. Local energy autonomy is associated with high costs, leading to levelized costs of electricity of 0.41 $/kWh on average. By analysing the studies, many improvements for future studies could be identified: the studies lack an analysis of the impact of autonomous energy systems on surrounding energy systems. In addition, the robust design of autonomous energy systems requires higher time resolutions and extreme conditions. Future research should also develop methodologies to consider local stakeholders and their preferences for energy systems.

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“…• improve the resilience of the city (which is frequently affected by climate change and weather extremes) in order to guarantee an affordable, reliable, sustainable and modern energy system from different points of view: energy, economic, environmental and social [22]; • promote energy efficiency measures [19] (i.e. building energy codes that can play an important role in energy savings [23]); • exploit the renewable energy sources that are available locally [24]. In an investigation of energy resilience, it is essential not only to guarantee continuity in the supply of energy, but also to maintain the quality and quantity of the services for human activities.…”

Section: Research Gapmentioning

confidence: 99%

An Urban Energy Atlas and Engineering Model for Resilient Cities

Mutani¹,

Todeschi²

2019

IJHT

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Increasing energy efficiency in buildings is a crucial topic, especially in those EU countries where almost 50% of the final energy consumption is used for space heating and cooling, of which 80% is used for buildings. This study presents a model and a tool that can be used to evaluate energy consumption and to identify retrofitting strategies and renewable energy sources with the aim of reaching energy and climate targets in order to improve energy security, competitiveness and sustainability in a territory. In a previous research, a 'top-down engineering' model was applied for a number of 1 km 2 districts in the city of Turin (IT) to evaluate the residual potential of buildings that could be connected to the district heating network. In this work, the energy-use model has been improved by considering applications to urban areas of different dimensions, and an urban energy atlas for the Turin building stock has been defined with the support of a Geographical Information System. The model has been validated by comparing the results of an energy balance calculation with energy consumption data of three consecutive heating seasons over an area of about 40 km 2 in which 500,000 inhabitants live.

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City-integrated renewable energy design for low-carbon and climate-resilient communities

Cited by 103 publications

References 44 publications

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas

Reviewing energy system modelling of decentralized energy autonomy

An Urban Energy Atlas and Engineering Model for Resilient Cities

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