On-site renewable electricity production and self consumption for manufacturing industry in Ireland: Sensitivity to techno-economic conditions

Sgobba, A.; Meskell, Craig

doi:10.1016/j.jclepro.2018.09.260

Cited by 15 publications

(8 citation statements)

References 27 publications

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“…Wear can also be modeled by a degradation coefficient, which reduces output [18], or by assuming an extra cost [17,116]. In the case of photovoltaics (PV), most panel manufacturers establish that performance decreases linearly [110]. Degradation, however, is an uncertain event that depends on the use of the facility and external factors such as climate.…”

Section: Component Failure or Degradationmentioning

confidence: 99%

Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review

et al. 2023

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Renewable energy is increasingly mobilizing more investment around the globe. However, there has been little attention to evaluating economic and regulatory (E&R) uncertainties, despite their enormous impact on the project cashflows. Consequently, this review analyzes, classifies, and discusses 130 articles dealing with the design of renewable energy projects under E&R uncertainties. After performing a survey and identifying the selected manuscripts, and the few previous reviews on the matter, the following innovative categorization is designed: sources of uncertainty, uncertainty characterization methods, problem formulations, solution methods, and regulatory frameworks. The classification reveals that electricity price is the most considered source of uncertainty, often alone, despite the existence of six other equally influential groups of E&R uncertainties. In addition, real options and optimization arise as the two main approaches researchers use to solve problems in energy system design. Subsequently, the following aspects of interest are discussed in depth: how modeling can be improved, which are the most influential variables, and potential lines of research. Conclusions show the necessity of modeling E&R uncertainties with currently underrepresented methods, suggest several policy recommendations, and encourage the integration of prevailing approaches.

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Section: Component Failure or Degradationmentioning

confidence: 99%

Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review

et al. 2023

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“…Both SA studies [118] [119] used air density, Weibull shape and scale parameters as inputs, LCOE as output, and Sobol SI as SA method. Sgobba [141] published on sensitivity of on-site renewable electricity production and self consumption for manufacturing industry in Ireland to techno-economic conditions, the article included a OATSA of wind LCOE to normalized CAPEX and DR.SA of LCOE based on changes in HH was part of [140] (Section 2.2.3). Since the input was only one, it automatically classifies this instance of SA as OAT.…”

Section: Table 2: Sensitivity Analysis Input Variables In [74][124][125]mentioning

confidence: 99%

A review of sensitivity analysis practices in wind resource assessment

Tsvetkova

Ouarda

2021

Energy Conversion and Management

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“…One option to reduce the carbon emissions associated with the electric demand of a residential facility is through on-site Variable Renewable Energy (VRE) generation. Renewable sources such as solar and wind could be exploited on-site to generate fuel-free electricity, reducing the annual energy costs and the CO 2 emissions [16]. However, electricity demand accounts only for around 30% of the total EU industrial energy consumption [17], while the remaining 70% consists of thermal energy demand at various temperatures.…”

Section: Literature Reviewmentioning

confidence: 99%

A Heuristic Algorithm for Combined Heat and Power System Operation Management

et al. 2021

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This paper presents a computationally efficient novel heuristic approach for solving the combined heat and power economic dispatch (CHP-ED) problem in residential buildings considering component interconnections. The proposed solution is meant as a substitute for the cutting-edge approaches, such as model predictive control, where the problem is a mixed-integer nonlinear program (MINLP), known to be computationally-intensive, and therefore requiring specialized hardware and sophisticated solvers, not suited for residential use. The proposed heuristic algorithm targets simple embedded hardware with limited computation and memory and, taking as inputs the hourly thermal and electrical demand estimated from daily load profiles, computes a dispatch of the energy vectors including the CHP. The main idea of the heuristic is to have a procedure that initially decomposes the three energy vectors’ requests: electrical, thermal, and hot water. Then, the latter are later combined and dispatched considering interconnection and operational constraints. The proposed algorithm is illustrated using series of simulations on a residential pilot with a nano-cogenerator unit and shows around 25–30% energy savings when compared with a meta-heuristic genetic algorithm approach.

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On-site renewable electricity production and self consumption for manufacturing industry in Ireland: Sensitivity to techno-economic conditions

Cited by 15 publications

References 27 publications

Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review

Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review

A review of sensitivity analysis practices in wind resource assessment

A Heuristic Algorithm for Combined Heat and Power System Operation Management

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