Urban energy systems with smart multi-carrier energy networks and renewable energy generation

Niemi, R.; Mikkola, Jani; Lund, Peter

doi:10.1016/j.renene.2012.05.017

Cited by 118 publications

(67 citation statements)

References 13 publications

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“…There are many types of the definition of region in existing simulation approaches; for example, city (e.g., Robinson et al, 2009), urban energy systems (e.g., Rager et al, 2013), urban network for energy carrier (e.g., Niemi et al, 2012), neighborhood (e.g., Orehounig et al, 2015), district, (e.g., Baetens et al, 2012), microgrid, (e.g., Lambert et al, 2006), and island (Kikuchi et al, 2016b). In the region of such studies, varous energy facilities and technologies are dispatched to meet the demand of power and heat considering socioeconomic conditions (Keirstead et al, 2012); for example, renewable energy sources are connected through multi-carrier energy networks containing central and decentralized CHP, photovoltaic, wind turbine, and electric vehicles considering hourly heating and electricity demand (Niemi et al, 2012), and different energy conversion technologies are integrated for designing a system such as photovoltaic to building electricity, wood to building heat or district heating, and so on . Mesoscopic modeling analysis enables the studies on the combination of multiple technologies and energy demands in adequate temporal and spatial scales for examining the performance of technologies, in other words, the contribution of technologies toward smart energy system.…”

Section: Model Frameworkmentioning

confidence: 99%

Simulation-Based Approaches for Design of Smart Energy System: A Review Applying Bibliometric Analysis

Kikuchi

2017

J. Chem. Eng. Japan / JCEJ

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The design of energy systems has become an issue of worldwide interest. A single optimal energy system cannot be suggested because the availability of infrastructure and resources, and the acceptability of the system should be discussed locally with the involvement of all related stakeholders. A simulation-based approach is strongly needed for such a purpose. In this paper, the current major trends are reviewed on research activities related to smart energy systems. First, a bibliometric analysis of academic papers was conducted with the aim of visualizing clusters that indicate the hot topics attributable to smart energy systems. Considering the extracted research topics and representative references that are the core of each cluster, possible simulation-based approaches for the design of smart energy system are schematically structured on the basis of social, economic, and technological aspects. Through this study, the framework needed for the design of smart energy systems is characterized with simulation-based socioeconomic and technological analyses.

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Section: Model Frameworkmentioning

confidence: 99%

Simulation-Based Approaches for Design of Smart Energy System: A Review Applying Bibliometric Analysis

Kikuchi

2017

J. Chem. Eng. Japan / JCEJ

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“…The main drawback of the above research is that CHP is optimized in either EL or HL strategies, and they also neglect that HTER varies with the overall efficiency and loading level of CHPs [22]. To achieve energy consumption in a more efficient way, different energy carrier networks are connected together [23]. Then, network-connected CHPs are the core of such an energy system, which are connected to heat and electric networks.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization

et al. 2016

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Network-connected combined heat and powers (CHPs), owned by a community, can export surplus heat and electricity to corresponding heat and electric networks after community loads are satisfied. This paper proposes a new optimization model for network-connected CHP operation. Both CHPs' overall efficiency and heat to electricity ratio (HTER) are assumed to vary with loading levels. Based on different energy flow scenarios where heat and electricity are exported to the network from the community or imported, four profit models are established accordingly. They reflect the different relationships between CHP energy supply and community load demand across time. A discrete optimization model is then developed to maximize the profit for the community. The models are derived from the intervals determined by the daily operation modes of CHP and real-time buying and selling prices of heat, electricity and natural gas. By demonstrating the proposed models on a 1 MW network-connected CHP, results show that the community profits are maximized in energy markets. Thus, the proposed optimization approach can help customers to devise optimal CHP operating strategies for maximizing benefits.

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“…The integration of different energy sources and loads has been intensively researched and developed in the last decade within the context of sustainable energy systems [1]. As a major energy supply network in urban areas, the distribution network (DN) plays a significant role in the urban energy system, especially in the background of electrification development [2].…”

Section: Introductionmentioning

confidence: 99%

Integrated optimal power flow for distribution networks in local and urban scales

Liu

et al. 2016

2016 UKACC 11th International Conference on Control (CONTROL)

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Urban energy systems with smart multi-carrier energy networks and renewable energy generation

Cited by 118 publications

References 13 publications

Simulation-Based Approaches for Design of Smart Energy System: A Review Applying Bibliometric Analysis

Simulation-Based Approaches for Design of Smart Energy System: A Review Applying Bibliometric Analysis

Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization

Integrated optimal power flow for distribution networks in local and urban scales

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