Towards multi-source multi-product energy systems

Hemmes, K.; Zachariah-Wolf, J.L.; Geidl, Martin; Andersson, Göran

doi:10.1016/j.ijhydene.2006.10.013

Cited by 117 publications

(54 citation statements)

References 2 publications

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“…Previous studies have underlined that a favorable public opinion can depend on whether the available information on H2 is commonly positive [12] and rather generally refers to fuel use [14]. Indeed, Hemmes et al [21] obtained a reduced acceptability by also providing negative information to their respondents, and the same reduction characterizes studies on infrastructure rather than specific applications [14]. Moving to the CV studies, we found seven papers ( Table 2) that focus on the topic of analyzing WTP for H2B.…”

Section: Literature Reviewmentioning

confidence: 84%

Willingness to Pay and Public Acceptance for Hydrogen Buses: A Case Study of Perugia

Bigerna

Polinori

2015

Sustainability

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Section: Literature Reviewmentioning

confidence: 84%

Willingness to Pay and Public Acceptance for Hydrogen Buses: A Case Study of Perugia

Bigerna

Polinori

2015

Sustainability

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“…This means that an EH effectively provides an interface between different sources and loads [4], offering important advantages, such as increased reliability of the system because of the implied redundancy, but also a gain in flexibility: it becomes possible to match the power demand by combining different sources. This flexibility permits to optimize the energy paths according to a global strategy, which can be of energetic, economic or of environmental character [5]- [7].…”

Section: A Motivation and Approachmentioning

confidence: 99%

Multiobjective Optimization of Multi-Carrier Energy System Using a Combination of ANFIS and Genetic Algorithms

Kampouropoulos

Andrade

Sala

et al. 2018

IEEE Trans. Smart Grid

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Abstract-This paper presents a novel method for the energy optimization of multi-carrier energy systems. The presented method combines an adaptive neuro-fuzzy inference system, to model and forecast the power demand of a plant, and a genetic algorithm to optimize its energy flow taking into account the dynamics of the system and the equipment's thermal inertias. The objective of the optimization algorithm is to satisfy the total power demand of the plant and to minimize a set of optimization criteria, formulated as energy usage, monetary cost and environmental cost. The presented method has been validated under real conditions in the car manufacturing plant of SEAT in Spain in the framework of an FP7 European research project.

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“…Inequalities (24)(25)(26) show constrains for maximum capacity of CHP, chiller and auxiliary boiler. Maximum allowable values of heating, cooling and electrical power for sale are given by (27).So the objective function of the problem can be expressed as:…”

Section: Kk(n) Cc(n) and H(n)mentioning

confidence: 99%

A Financial Approach to Evaluate an Optimized Combined Cooling, Heat and Power System

Bahrami¹,

Safe²

2013

EPE

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Iran's removing subsidy from energy carrier in four years ago leads to spike electricity price dramatically. This abrupt change increases the interest on distributed generation (DG) because of its several benefits such as lower electricity generation price. In Iran among all type of DGs, because of wide natural gas network infrastructure and several incentives that government legislated to support combined cooling, heat and power (CCHP) investors, this type of technology is more prevalent in comparison with other technologies. Between existing CCHP technologies, certain economic choices are to be taken into account. For different buildings with different load curves, suitable size and operation of CCHP should be calculated to make the project more feasible. If CCHP does not well suited for a position, then the whole energy efficiency would be plunged significantly. In this paper, a model to find the optimal size and operation of CCHP and auxiliary boiler for any users is proposed by considering an integrated view of electricity and natural gas network using GAMS software. Then this method is applying for a hospital in Tehran as a real case study. Finally, by applying COMFAR III software, useful financial parameters and sensitivity analysis are calculated.

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Towards multi-source multi-product energy systems

Cited by 117 publications

References 2 publications

Willingness to Pay and Public Acceptance for Hydrogen Buses: A Case Study of Perugia

Willingness to Pay and Public Acceptance for Hydrogen Buses: A Case Study of Perugia

Multiobjective Optimization of Multi-Carrier Energy System Using a Combination of ANFIS and Genetic Algorithms

A Financial Approach to Evaluate an Optimized Combined Cooling, Heat and Power System

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