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

Alvarado, Dagoberto Cedillos; Acha, Salvador; Shah, Nilay; Markides, Christos N.

doi:10.1016/j.apenergy.2016.08.013

Cited by 61 publications

(24 citation statements)

References 17 publications

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“…In order to simulate the performance of CHP systems in supermarkets, a techno-economic optimisation model was adopted. The modelling framework is based on the "TSO model" which has been described in previous publications addressing the characterisation and evaluation of various distributed technologies in commercial buildings [47,50]. We advise revising these works as they detail in-depth the data-driven energy systems optimisation approach that in this paper is summarised.…”

Section: Techno-economic Modelling Frameworkmentioning

confidence: 99%

“…The techno-economic specification performance sheet of a standard 500 kWe ICE-CHP engine, of roughly the same capacity as the FC-CHP system, was simulated with costs and data validated from previous cogeneration research projects [50]. The main parameters utilised to model the ICE-CHP unit are summarised in Table 3 and part-load performance of the engine is illustrated in Figure 6.…”

Section: Comparison Against Alternative Ice-chp Systemsmentioning

confidence: 99%

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Fuel cells as combined heat and power systems in commercial buildings: A case study in the food-retail sector

Acha

Brun

Damaskou

et al. 2020

Energy

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This work investigates the viability of fuel cells (FC) used as combined heat and power systems (CHPs) in commercial buildings with a specific focus on supermarkets. Up-to-date technical data from a fuel cell manufacturing company was obtained and applied to evaluate their viability in an existing food-retail building. A detailed optimisation model described in previous works enhancing distributed energy system management is expanded upon to optimise the techno-economic performance of FC-CHP systems. The optimisations employ comprehensive techno-economic datasets that reflect current market trends. Outputs highlight the key factors influencing the economics of FC -CHP projects. Furthermore, a comparative analysis against a competing internal combustion engine (ICE) CHP system is performed to grasp the trade-offs of each system. Results indicate that FCs are becoming financially competitive although ICEs are still a more attractive option. For supermarkets, the payback period for installing a FC system is 4.7-5.9 years vs. 4.0-5.6 years for ICEs when policies are considered. If incentives are removed, FC-CHP systems have paybacks between 6-10 years vs. 5-8.5 years for ICE-based systems. A sensitivity analysis under different market and policy scenarios is performed, offering insights into the performance gap fuel cells face before becoming more competitive.

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Section: Techno-economic Modelling Frameworkmentioning

confidence: 99%

Section: Comparison Against Alternative Ice-chp Systemsmentioning

confidence: 99%

Fuel cells as combined heat and power systems in commercial buildings: A case study in the food-retail sector

Acha

Brun

Damaskou

et al. 2020

Energy

Self Cite

View full text Add to dashboard Cite

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“…The paper of Mehleri et al [5] pursues the same topic also exploring the optimal choice among several candidate distributed technologies and, in addition, optimizes the network of heat exchanges. Along with the minimization of the operating costs, the studies of both Alvarado [6] and Weber and Shah [7] address the reduction of the carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

A multi-layer agent-based model for the analysis of energy distribution networks in urban areas

Fichera

Pluchino

Volpe

2018

Physica A: Statistical Mechanics and its Applications

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Significant research contributions and Directives approach the issue of the insertion of renewable-based energy systems on urban territory in order to face with the growing energy needs of citizens. The introduction of such systems gives raise to installers to both satisfy their energy demands and distribute eventual energy excesses to close neighbours. This paper presents a multi-layer agent-based computational model that simulates multiple event of the network of the energy distribution occurring within urban areas. The model runs on the NetLogo platform and aims at elaborating the most suitable strategy when dealing with the design of a network of energy distribution. Experimental data are discussed on the basis of two main scenarios within an operating period of 24 hours. Scenarios consider both the variation of the percentages of installers of renewable-based energy systems and the distance along which energy exchanges occur.

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“…However, most of the studies have assumed fixed values for tariffs and other quantities, while these values are variable during the plant's life span. Furthermore, most of the developed methodologies do not identify technical solutions actually available in the market, as stated in [40].…”

Section: Introductionmentioning

confidence: 99%

The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems

Gimelli

Muccillo

2018

Energies

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In recent decades, growing concerns about global warming and climate change effects have led to specific directives, especially in Europe, promoting the use of primary energy-saving techniques and renewable energy systems. The increasingly stringent requirements for carbon dioxide reduction have led to a more widespread adoption of distributed energy systems. In particular, besides renewable energy systems for power generation, one of the most effective techniques used to face the energy-saving challenges has been the adoption of polygeneration plants for combined heating, cooling, and electricity generation. This technique offers the possibility to achieve a considerable enhancement in energy and cost savings as well as a simultaneous reduction of greenhouse gas emissions. However, the use of small-scale polygeneration systems does not ensure the achievement of mandatory, but sometimes conflicting, aims without the proper sizing and operation of the plant. This paper is focused on a methodology based on vector optimization algorithms and developed by the authors for the identification of optimal polygeneration plant solutions. To this aim, a specific calculation algorithm for the study of cogeneration systems has also been developed. This paper provides, after a detailed description of the proposed methodology, some specific applications to the study of combined heat and power (CHP) and organic Rankine cycle (ORC) plants, thus highlighting the potential of the proposed techniques and the main results achieved.

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

Cited by 61 publications

References 17 publications

Fuel cells as combined heat and power systems in commercial buildings: A case study in the food-retail sector

Fuel cells as combined heat and power systems in commercial buildings: A case study in the food-retail sector

A multi-layer agent-based model for the analysis of energy distribution networks in urban areas

The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems

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