The Energy Trilemma in the Green Mountain State: An Analysis of Vermont's Energy Challenges and Policy Options

Sautter, John A.; Landis, James M.; Dworkin, Michael H.

doi:10.2307/vermjenvilaw.10.3.477

Cited by 10 publications

(9 citation statements)

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“…This can be carried out by adopting thermal high-resolution profiles and replacing the thermal model (17) and (18) with (19)-(23) [31]. The temperature of the building, considering outdoor temperatures, devices, and occupation (e.g., temperature gain from opened windows, and adjustments of thermostat) are modeled with (19). Occupation (represented with a binary variable β) is modeled with (20) and 21, whereas TES operation and limits are modeled with (22) and (23), respectively…”

Section: F Building-level Mes and Virtual Storagementioning

confidence: 99%

Integrated Electricity– Heat–Gas Systems: Techno–Economic Modeling, Optimization, and Application to Multienergy Districts

et al. 2020

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| Multienergy systems (MES) can optimally deploy their internal operational flexibility to use combinations of different energy vectors to meet the needs of end-users and potentially support the wider system. Key relevant applications of MES are multienergy districts (MEDs) with, for example, integrated electricity and gas distribution and district heating networks. Simulation and optimization of MEDs is a grand challenge requiring sophisticated techno-economic tools that are capable of modeling buildings and distributed energy Manuscript

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Section: F Building-level Mes and Virtual Storagementioning

confidence: 99%

Integrated Electricity– Heat–Gas Systems: Techno–Economic Modeling, Optimization, and Application to Multienergy Districts

et al. 2020

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“…Concerns about anthropogenic climate change driven by burning of fossil fuels have moved policy makers', the energy industry's and energy users' attention away from simply the technologies, commercial frameworks and institutions that promise to deliver a sufficiently reliable supply of energy at least cost towards what was described in 2008 by Sautter et al as the "energy trilemma" [1] involving interactions between cost, reliability and the environment. A number of commentators now extend this to a 'quadrilemma' [2] in which societal choices are to be made between affordability of energy, security of supply, sustainability (not only in respect of carbon emissions but also around use of natural resources such as water) and social acceptability, e.g., in respect of visual impacts, safety concerns, comfort, perceptions of health impacts, effects for the wider economy and so on.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, many widely used software tools have been developed and tested over a number of years and reliably solve particular sets of equations and can be used to assess what would be the result of some particular future set of circumstances. However, this wealth of capability extends, in respect of electricity, only to electrical energy systems with, to a very large extent, the final use of electrical energy treated exogenously 1 . In contrast, what is becoming increasingly clear is that, given the choices and interactions between different energy sectors and vectors in a truly MES context, this is inadequate.…”

Section: Introductionmentioning

confidence: 99%

Modelling of integrated multi-energy systems: Drivers, requirements, and opportunities

Mancarella

Andersson

Pecas-Lopes

et al. 2016

2016 Power Systems Computation Conference (PSCC)

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There is growing recognition that decarbonisation of existing uses of electricity is only 'part of the story' and that closer attention needs to be given to demand for energy in heating or cooling and in transport, and to all the energy vectors and infrastructures that supply the end-use demand. In this respect, concepts such as 'multi-energy systems' (MES) have been put forward and are gaining increasing momentum, with the aim of identifying how multiple energy systems that have been traditionally operated, planned and regulated in independent silos can be integrated to improve their collective technical, economic, and environmental performance. This paper addresses the need for modelling of MES which is capable of assessing interactions between different sectors and the energy vectors they are concerned with, so as to bring out the benefits and potential unforeseen or undesired drawbacks arising from energy systems integration. Drivers for MES modelling and the needs of different users of models are discussed, along with some of the practicalities of such modelling, including the choices to be made in respect of spatial and temporal dimensions, what these models might be used to quantify, and how they may be framed mathematically. Examples of existing MES models and tools and their capabilities, as well as of studies in which such models have been used in the authors' own research, are provided to illustrate the general concepts discussed. Finally, challenges, opportunities and recommendations are summarised for the engagement of modellers in developing a new range of analytical capabilities that are needed to deal with the complexity of MES.

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“…1,2 To date, the vast majority of research addressing this challenge has been conducted within the disciplines of science, engineering and economics utilising quantitative and modelling techniques 3 (in this paper, a model is defined as a formalised representation of a natural system with its own internally consistent rules 4 ). At the same time, there is growing awareness that meeting energy challenges requires fundamentally sociotechnical solutions that seek to understand the co-evolutionary dynamics between technology and society.…”

Section: Interdisciplinary Research and The Low-carbon Energy Challengementioning

confidence: 99%

“…By contrast, social science partners in the consortium wished to open up debate around the underlying assumptions embedded within these models. Starting from this challenge, the second round of the project explicitly experiments 1 with different forms of collaboration between social scientists and engineers and examines the impacts this has on both the process and the outcomes of the research. This paper reports on one of the interdisciplinary experiments underway within the consortium that seeks to build new models of energy demand on the basis of cutting-edge social science understandings.…”

Section: Interdisciplinary Research and The Low-carbon Energy Challengementioning

confidence: 99%

Diagramming social practice theory: An interdisciplinary experiment exploring practices as networks

Higginson

McKenna

Hargreaves

et al. 2015

Indoor and Built Environment

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Achieving a transition to a low-carbon energy system is now widely recognised as a key challenge facing humanity. To date, the vast majority of research addressing this challenge has been conducted within the disciplines of science, engineering and economics utilising quantitative and modelling techniques. However, there is growing awareness that meeting energy challenges requires fundamentally sociotechnical solutions and that the social sciences have an important role to play. This is an interdisciplinary challenge but, to date, there remain very few explorations of, or reflections on, interdisciplinary energy research in practice. This paper seeks to change that by reporting on an interdisciplinary experiment to build new models of energy demand on the basis of cutting-edge social science understandings. The process encouraged the social scientists to communicate their ideas more simply, whilst allowing engineers to think critically about the embedded assumptions in their models in relation to society and social change. To do this, the paper uses a particular set of theoretical approaches to energy use behaviour known collectively as social practice theory -and explores the potential of more quantitative forms of network analysis to provide a formal framework by means of which to diagram and visualise practices. The aim of this is to gain insight into the relationships between the elements of a practice, so increasing the ultimate understanding of how practices operate. Graphs of practice networks are populated based on new empirical data drawn from a survey of different types (or variants) of laundry practice. The resulting practice networks are analysed to reveal characteristics of elements and variants of practice, such as which elements could be considered core to the practice, or how elements between variants overlap, or can be shared. This promises insights into energy intensity, flexibility and the rootedness of practices (i.e. how entrenched/established they are) and so opens up new questions and possibilities for intervention. The novelty of this approach is that it allows practice data to be represented graphically using a quantitative format without being overly reductive. Its usefulness is that it is readily applied to large datasets, provides the capacity to interpret social practices in new ways and serves to open up potential links with energy modelling. More broadly, a significant dimension of novelty has been the interdisciplinary approach, radically different to that normally seen in energy research. This paper is relevant to a broad audience of social scientists and engineers interested in integrating social practices with energy engineering.

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The Energy Trilemma in the Green Mountain State: An Analysis of Vermont's Energy Challenges and Policy Options

Cited by 10 publications

References 0 publications

Integrated Electricity– Heat–Gas Systems: Techno–Economic Modeling, Optimization, and Application to Multienergy Districts

Integrated Electricity– Heat–Gas Systems: Techno–Economic Modeling, Optimization, and Application to Multienergy Districts

Modelling of integrated multi-energy systems: Drivers, requirements, and opportunities

Diagramming social practice theory: An interdisciplinary experiment exploring practices as networks

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