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@article{Hampton2022,

title = {Customer engagement strategies in retail electricity markets: A comprehensive and comparative review},

author = {Harrison Hampton and Aoife Foley and Dylan Furszyfer Del Rio and Beatrice Smyth and David Laverty and Brian Caulfield},

url = {https://www.sciencedirect.com/science/article/pii/S2214629622001153},

doi = {10.1016/j.erss.2022.102611},

issn = {2214-6296},

year  = {2022},

date = {2022-08-01},

urldate = {2022-08-01},

journal = {Energy Research & Social Science},

volume = {90},

pages = {102611},

abstract = {Retail electricity markets require development to ensure efficient and equitable pass through of wholesale electricity costs to customers. Customer engagement has been heralded as a concept to improve the wholesale-to-retail link, better harness flexible demand loads and co-ordinate distributed renewable generation and storage. This study reviews the state-of-the-art customer engagement trends in retail electricity markets, and in doing so, it first establishes a definition of customer engagement in the context of retail electricity markets. Second, the paper identifies that literature on customer engagement revolves around three key strategic themes, namely ‘Customer Focus’, ‘Tariff Design’ and ‘Innovation’. Third, the paper systematically provides a comprehensive review of these customer engagement strategies in retail electricity markets. Finally, the study identifies the technical, market and social requirements to deliver an innovative retail electricity market structure to decarbonise society. This paper's crucial and novel policy recommendation is that integrating market mechanisms and technology (i.e. cross-linking across the three customer engagement strategy themes) is required to ensure robust and efficient retail electricity market operation as society advances to a net zero economy. The study concludes with the establishment of eight future research directions of customer engagement for retail electricity market design.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jaramillo2021,

title = {Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks},

author = {Andres F. Moreno Jaramillo and David M. Laverty and D. John Morrow and Jesús Martinez del Rincon and Aoife M. Foley},

url = {https://www.sciencedirect.com/science/article/pii/S0960148121010612},

doi = {https://doi.org/10.1016/j.renene.2021.07.056},

issn = {0960-1481},

year  = {2021},

date = {2021-12-01},

urldate = {2021-12-01},

journal = {Renewable Energy},

volume = {179},

pages = {445-466},

abstract = {In many countries distributed energy resources (DER) (e.g. photovoltaics, batteries, wind turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic appliances) are part of the ‘Green Deal’ to deliver a climate neutral society. Policy roadmaps, despite providing a framework and penetration targets for DER, often lack the network planning strategies needed to transition from passive to active distribution networks. Currently, DER's dynamic performance parameters and location identification techniques are not fully standardised. In fact, it can be very ad hoc. Standardised distributed load modelling and non-intrusive load monitoring (NILM) for equipment manufacturers, installers and network operators is critical to low and medium voltage network management in order to facilitate better balancing, flexibility and electricity trading across and within the power system for mass DER deployment. The aim of this paper is to fill this load modelling and NILM knowledge gap for DERto inform the ‘Green Deal’ transition and support standardisation. In the paper, existing load modelling techniques and NILM methodologies are critically examined to inform and guide research activity, equipment development and regulator thinking, as well as network operators. Seven key findings that need urgent attention are identified to support a smooth power system reconfiguration.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{McIlwaine2021,

title = {A state-of-the-art techno-economic review of distributed and embedded energy storage for energy systems},

author = {Neil McIlwaine and Aoife M. Foley and D. John Morrow and Dlzar Al Kez and Chongyu Zhang and Xi Lu and Robert J. Best},

url = {https://www.sciencedirect.com/science/article/pii/S0360544221007106},

doi = {https://doi.org/10.1016/j.energy.2021.120461},

issn = {0360-5442},

year  = {2021},

date = {2021-08-15},

urldate = {2021-08-15},

journal = {Energy},

volume = {229},

pages = {120461},

abstract = {Renewable energy is projected to play an important role in reducing greenhouse gas emissions and in realising the climate change goals. Large scale development of variable renewable energy, which is regarded as non-dispatchable, requires additional power system quality services such as voltage regulation, frequency regulation and inertial response. Energy storage provides an important means to supply these services but there are many uncertainties in terms of technology, market readiness, economics, and regulatory requirements. The aim of this study is to undertake a global state-of-the-art review of the techno-economic and regulatory status of energy storage and power quality services at the distribution level. The review will establish the global trends in electricity markets that have seen high levels of renewable energy penetration. The results of the investigation indicate that further research is required to qualify, quantify, and value the installation of mass energy storage particularly at the distribution level.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Elie2021,

title = {The different types of renewable energy finance: A Bibliometric analysis},

author = {Luc Elie and Caroline Granier and Sandra Rigot},

doi = {https://doi.org/10.1016/j.eneco.2020.104997},

year  = {2021},

date = {2021-01-01},

journal = {Energy Economics},

number = {104997},

abstract = {This article surveys the academic research dedicated to the different types of renewable energy finance. We conduct a bibliometric analysis based on the widely used database Web of Science, covering the period of 1992 to 2018. We generate a bottom-up clustering of academic articles using network analysis tools, leading us to identify 8 main clusters of publications defined by their focus on specific types of finance and their geographical and technological scope. Our main line of research is to observe the discrepancy between the importance of the funding modes in reality and their share in the literature. The critical appraisal of our results highlights that the literature does not reflect the diversity of renewable energy finance. Most studies focus on market-based policy instruments used to support renewable energy development in developed countries. Conversely, few studies of direct financing flows from the public and private sectors were found, while private sources provide an important part of renewable energy investment globally. Furthermore, the literature generally focuses on mature renewable electricity technologies (solar and wind). Our dynamic analysis reveals that private investment is an emerging subject. Overall, our result reveals significant room for development of the field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Aviso2020,

title = {Fuzzy optimization of carbon management networks based on direct and indirect biomass co-firing},

author = {K.B. Aviso and C.L. Sy and R.R. Tan and Aristotle T. Ubando},

url = {http://www.sciencedirect.com/science/article/pii/S1364032120303269},

doi = {https://doi.org/10.1016/j.rser.2020.110035},

issn = {1364-0321},

year  = {2020},

date = {2020-10-01},

urldate = {2020-10-01},

journal = {Renewable and Sustainable Energy Reviews},

volume = {132},

pages = {110035},

abstract = {A drastic reduction in greenhouse gas emissions from electricity generation will be needed to mitigate climate change to a safe level. Residual biomass from agriculture is an underutilized energy source that can contribute to the needed emissions cut, but its geographic dispersion presents logistical problems. Direct and indirect co-firing of biomass in existing power plants presents a flexible means of utilizing this resource. Indirect co-firing of biomass with biochar co-production can even give greater reduction in greenhouse gas emissions if the biochar is applied to soil as a form of carbon sequestration. In this paper, a fuzzy linear programming model is developed for optimizing a carbon management network based on direct and indirect biomass co-firing, coupled with biochar application to soil for the latter case. The model can match biomass sources to power plants; the power plants that use indirect co-firing are also matched to biochar application sites. The model is illustrated using a case study representative of a developing country with an agriculture-intensive economy. Results show that not all powerplants need to implement co-firing to reach a balance between reducing GHG emissions and the risk of introducing contaminants in soil. The model provides effective decision support for decarbonizing power generation, particularly in developing countries that still make use of coal-fired power plants and which have abundant biomass resources in the form of agricultural waste.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Makowski2018,

title = {Mapping the Evidence on the Environmental Impacts of Land-Use Change for Non-food Biomass Production},

author = {David Makowski},

url = {https://hal.inrae.fr/hal-02904528

https://link.springer.com/content/pdf/10.1007/978-3-319-96289-4.pdf#page=237},

doi = {10.1007/978-3-319-96289-4_10},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Sustainable Agriculture Reviews},

volume = {30},

pages = {227-236},

abstract = {The environmental impact of land-use change for biomass production is controversial, and it is crucial to provide stakeholders with a reliable description of the existing evidence on this topic. In this paper, we use an emerging research synthesis method called “evidence mapping” to summarize the main characteristics of 241 studies in a graphical user-friendly format. Results showed that most of the reviewed studies were located in Northern and Southern Americas, especially in USA and Brazil. A majority of studies focused on 1G and 2G biofuel, and on electricity production. The impacts on greenhouse gas emission, soil carbon content, soil erosion, water consumption, and water eutrophication were frequently assessed in the selected group of studies. The evidence maps produced in this paper revealed that only few studies were conducted to analyse the environmental impact of Land use change for methane production, for wood production, and for the chemical industry. Only few studies assessed the impact on biodiversity, on air quality, on human health, and on waste induced by land-use changes for biomass production. Our results thus highlight major gaps of knowledge and future research needs on the land-use-mediated implications of the bioeconomy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}