Heat demand peak shaving in urban integrated energy systems by demand side management - A techno-economic and environmental approach

Arnaudo, Monica; Topel, Monika; Puerto, Pablo; Widl, E.; Laumert, Björn

doi:10.1016/j.energy.2019.115887

Cited by 31 publications

(16 citation statements)

References 8 publications

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“…Multi-domain modelling languages, such as Modelica [33] and MAT-LAB/Simulink, on the one hand, and co-simulation approaches, especially based on the FMI specification [34] and the HLA standard [35], on the other hand, have gained a lot of popularity. As a matter of fact, both approaches have been successful in showing their potential regarding the assessment of complex energy systems on the scale of neighbourhoods, districts and cities-see for instance [36][37][38] or [39][40][41][42].…”

Section: Simulation Of Energy-related Aspects In Urban Environmentsmentioning

confidence: 99%

Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

2021

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Worldwide, cities are nowadays formulating their own sustainability goals, including ambitious targets related to the generation and consumption of energy. In order to support decision makers in reaching these goals, energy experts typically rely on simulation models of urban energy systems, which provide a cheap and efficient way to analyze potential solutions. The availability of high-quality, well-formatted and semantically structured data is a crucial prerequisite for such simulation-based assessments. Unfortunately, best practices for data modelling are rarely utilized in the context of energy-related simulations, so data management and data access often become tedious and cumbersome tasks. However, with the steady progress of digitalization, more and more spatial and semantic city data also become available and accessible. This paper addresses the challenge to represent these data in a way that ensures simulation tools can make use of them in an efficient and user-friendly way. Requirements for an effective linking of semantic 3D city models with domain-specific simulation tools are presented and discussed. Based on these requirements, a software prototype implementing the required functionality has been developed on top of the CityGML standard. This prototype has been applied to a simple yet realistic use case, which combines data from various sources to analyze the operating conditions of a gas network in a city district. The aim of the presented approach is to foster a stronger collaboration between experts for urban data modelling and energy simulations, based on a concrete proof-of-concept implementation that may serve as an inspiration for future developments.

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Section: Simulation Of Energy-related Aspects In Urban Environmentsmentioning

confidence: 99%

Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

2021

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“…The 'peak-shaving' sources can be centralized (usually one heat source connected to the primary network, i.e., the network on the primary sides of the heat exchangers in the thermal substations) or decentralized, i.e., distributed (several DH sources connected in series or in parallel to the primary or secondary DH network) [50,53,61]). While some researchers, who studied DHSs where industrial waste heat or coal-fired CHP plants serve as base-load DH sources, recommended gas-fired boilers as 'peak-shaving' sources in these DHSs [49][50][51][52], other researchers proposed utilization of HPs as an alternative [54,60,61].…”

Section: Complementing Dh Production and 'Peak Shaving' Dh Sourcesmentioning

confidence: 99%

Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review

Ilić

2020

Energies

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The highly varying character of district heating (DH) demand results in low capacity utilization of the DH plants, as well as increased use of fossil fuels during peak demand. The aim of this study is to present an overview and a comprehensive classification of measures intended to manage these load variations. A systematic literature review was conducted based on previously defined search strings as well as inclusion and exclusion criteria. Two scientific databases were used as data sources. Based on 96 detected publications, the measures were categorized as (1) complementing DH production in heat-only boilers (HOBs), or geothermal or booster heat pumps (HPs) (usually controlled by the DH company), (2) thermal energy (TE) storage in storage units or in the network (controlled by the company), and (3) demand side measures, which can be strategic demand increase, direct demand response (DR), or indirect DR. While the company has control over direct DR (e.g., thermal storage in the thermal mass of the buildings), indirect DR is based on communication between the customer and the company, where the customer has complete control. The multi-disciplinary nature of this topic requires an interdisciplinary approach.

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“…To enhance the user's satisfaction with energy consumption, the load-side problem should be considered. Monica Arnaudo et al [12] analyzed the technical economy and environment of demand-side management technology introduced into an urban integrated energy system, which effectively improved the regional heating network as an urban infrastructure with optimal technology and economy. Bhagya Nathalisilva et al [13] integrated an ant colony algorithm with a mutation operator to solve the integrated energy system scheduling problem of demand response management.…”

Section: Introductionmentioning

confidence: 99%

Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method

et al. 2021

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Improving the utilization efficiency of renewable energy sources (RES) is an important task for the development of an integrated energy system (IES). To address this challenge, this paper proposes a novel multi-objective interval optimization framework for the energy hub (EH) planning problem from the perspective of the source load synergy, while considering the impacts of both supply-and demand-side uncertainties. For this aim, based on an in-depth analysis of the adjustable characteristics of various loads in EH and their effect on RES absorption, an interval model is first established to describe the responsiveness of users' load demand to real-time energy price variations and its associated uncertainties. In view of the natural contradiction between the system's economic and environmental benefits, a multi-objective interval optimization model for the EH planning problem is developed, wherein the minimization of the system's economic costs and the maximization of the RES utilization rate are considered as the dual objectives to be optimized simultaneously. Moreover, this study takes into account the uncertainties of RES availability and demand-side behaviors by using interval numbers and properly considering their impacts in the context of long-term planning. According to the features of the proposed model, the interval order relation and possible degree method are jointly used to transform the model into a deterministic optimization problem first, and then an improved non-dominant sorting genetic algorithm is used to derive the optimal solution to the problem. The results show that the proposed method can effectively improve the economy of EH and the utilization efficiency of RES and flexibly meet different planning requirements, giving better engineering practicability.INDEX TERMS demand-side management, improved non-dominated sorting genetic algorithm, multiobjective interval optimization model, source load synergy, uncertainty analysis

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Heat demand peak shaving in urban integrated energy systems by demand side management - A techno-economic and environmental approach

Cited by 31 publications

References 8 publications

Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review

Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method

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