Modelling and optimization of CHP based district heating system with renewable energy production and energy storage

A Technology Selection and Operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study

“…Although some of the studies included the integration of other types of elements such as renewable energy technologies (e.g. solar PV) [2,7], the main element of the system is usually the CHP unit because the other elements cannot guarantee dispatchability [13]. It was also identified from the literature that most formulations applied an energy technology and resource conversion method similar to the Resource Technology Network (RTN) [14].…”

“…There is an extensive amount of literature describing different approaches for designing DES, ranging from standard recommendations to simulations [1,[4][5][6] and mathematical programming models [2,[7][8][9]11]. A broad range of factors integrate and influence DES design: diverse energy technologies, types of application (i.e.…”

“…Simulations and mixed-integer programming (MIP) optimization models have assisted decision-makers in such tasks [1,2,[4][5][6][7][8][9][10]. Diverse features and levels of complexity have been explored; the simplest model approaches consider constant energy demands and fixed energy costs while complex approaches consider fluctuating energy prices, variable energy demands, part-load efficiency integration, a carbon price and the possibility of selling electricity exported to the grid.…”

Optimization of seasonal storage for community-level energy systems: status and needs

“…Included in many of these studies are examinations of the most advantageous role of energy storage (Rong et al 2008) and advances in that technology (Lund et al 2014), as well as specialized integrated applications (Chacartegui et al 2009;Lai and Hui 2010). This includes determining for such systems the most viable and optimal scale (Wang et al 2015;Chicco and Mancarella 2009a;Badami and Portoraro 2009;Kavvadias et al 2010), the required level of flexibility (Lai and Hui 2009) and appropriate operation strategies (Kavvadias et al 2010). Also, optimization methods have been applied to the operation and structure of cogenerationbased district heating with long-term thermal storage (Tveit et al 2009).…”

“…Modeling and optimization methods have been developed and employed for a wide range of district energy (DE), cogeneration and trigeneration systems (Réveillèrea et al 2013;(Dominković et al 2015;Lozano et al 2009b;Erdem et al 2010;Wang et al 2015;Mago et al 2009;Mancarella 2014), which often are integral to community energy systems. Included in many of these studies are examinations of the most advantageous role of energy storage (Rong et al 2008) and advances in that technology (Lund et al 2014), as well as specialized integrated applications (Chacartegui et al 2009;Lai and Hui 2010).…”