scholarly journals Reframing the climate policy game

2021 ◽  
Author(s):  
Jean-Francois Mercure ◽  
Pablo Salas Bravo ◽  
Pim Vercoulen ◽  
Gregor Semieniuk ◽  
Aileen Lam ◽  
...  
Keyword(s):  
Climate Policy ◽  
Fossil Fuel ◽  
Natural Capital ◽  
Energy Systems ◽  
Value Chains ◽  
Energy Transformation ◽  
Economic Implications ◽  
Present Evidence ◽  
Strategic Incentives ◽  
Policy Game

Abstract A key aim of climate policy is to progressively substitute renewables and energy efficiency for fossil fuel use. The associated rapid depreciation and replacement of fossil fuel-related physical and natural capital may entail a profound reorganisation of industry value chains, international trade, and geopolitics. Here, we present evidence confirming that the transformation of energy systems is well under way, and we explore the economic and strategic implications of the emerging energy geography. We show specifically that, given the economic implications of the ongoing energy transformation, the framing of climate policy as a prisoner’s dilemma is a poor description of strategic incentives. Instead, a new climate policy game emerges in which fossil fuel importers are better off decarbonising, competitive fossil fuel exporters are better off flooding markets, and uncompetitive fossil fuel producers – rather than benefitting from ‘free-riding’ – suffer from their exposure to stranded assets and lack of investment in decarbonisation technologies.

scholarly journals Perspectives of CO2 Value Chains on Distributed Energy Systems for the Gas Industry

2013 ◽  
Vol 37 ◽  
pp. 2629-2636 ◽  
Author(s):  
Susumu Nishio ◽  
Takuto Isshiki ◽  
Hiromichi Kameyama ◽  
Ziqiu Xue
Keyword(s):  
Energy Systems ◽  
Value Chains ◽  
Distributed Energy ◽  
Gas Industry

The Problem of Energy

2014 ◽  
Vol 31 (5) ◽  
pp. 3-20 ◽  
Author(s):  
John Urry
Keyword(s):  
Social Theory ◽  
21St Century ◽  
Fossil Fuel ◽  
Energy Systems ◽  
Social Thought ◽  
Human Intervention ◽  
The West ◽  
The Past ◽  
And Control ◽  
Global Growth

Energy forms and their extensive scale are remarkably significant for the ways that societies are organized. This article shows the importance of how societies are ‘energized’ and especially the global growth of ‘fossil fuel societies’. Much social thought remains oblivious to the energy revolution realized over the past two to three centuries which set the ‘West’ onto a distinct trajectory. Energy is troubling for social thought because different energy systems with their ‘lock-ins’ are not subject to simple human intervention and control. Analyses are provided here of different fossil fuel societies, of coal and oil, with the latter enabling the liquid, mobilized 20th century. Consideration is paid to the possibilities of reducing fossil fuel dependence but it is shown how unlikely such a ‘powering down’ will be. The author demonstrates how energy is a massive problem for social theory and for 21st-century societies. Developing post-carbon theory and especially practice is far away but is especially urgent.

Environmental impacts of smart local energy systems

2021 ◽  
Author(s):  
Samuel Robinson ◽  
Alona Armstrong
Keyword(s):  
Ecosystem Services ◽  
Environmental Impacts ◽  
Natural Capital ◽  
Critical Evaluation ◽  
Energy Systems ◽  
Energy System ◽  
Simulation Modelling ◽  
Local Energy ◽  
Energy Technologies ◽  
Degraded Ecosystems

<p>Energy systems around the world are rapidly transitioning towards decentralised and digitalised systems as countries aim to decarbonise their economies. However, broader environmental effects of the upscaling of these smart local energy systems (SLES) beyond reducing carbon emissions remain unclear. Land-use change associated with increased deployment of renewables, new infrastructures required for energy distribution and storage, and resource extraction for emerging energy technologies may have significant environmental impacts, including consequences for ecosystems within and beyond energy system project localities. This has major implications for biodiversity, natural capital stocks and provision of ecosystem services, the importance of which are increasingly recognised in development policy at local to international scales. This study assessed current understanding of the broader environmental impacts and potential co-benefits of SLES through a global Rapid Evidence Assessment of peer-reviewed academic literature, with a critical evaluation and synthesis of existing knowledge of effects of SLES on biodiversity, natural capital and ecosystem services. There was a striking overall lack of evidence of the environmental impacts of SLES. The vast majority of studies identified considered only energy technology CO<sub>2</sub> emissions through simulation modelling; almost no studies made explicit reference to effects on ecosystems. This highlights an urgent need to improve whole system understanding of environmental impacts of SLES, crucial to avoid unintended ecosystem degradation as a result of climate change mitigation. This will also help to identify potential techno-ecological synergies and opportunities for improvement of degraded ecosystems alongside reaching decarbonisation goals.</p>

scholarly journals Total Economic Value of Natural Capital - A Case Study of Piatra Craiului National Park

2013 ◽  
Vol 41 (2) ◽  
pp. 608 ◽  
Author(s):  
Bogdan POPA ◽  
Claudiu COMAN ◽  
Stelian A. BORZ ◽  
Dan M. NITA ◽  
Codrin CODREANU ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Protected Areas ◽  
National Park ◽  
Natural Capital ◽  
Economic Value ◽  
Relevant Information ◽  
Distribution Analysis ◽  
Economic Sectors ◽  
Economic Implications ◽  
Total Economic Value

In the last two decades different methodologies for assessing the economic implications of protected areas have been developed within the framework of "Total Economic Value", taking into account not only goods and services that have a price and a market but also those not priced or marketed. The present paper, by using a number of recognized methodologies applied by environmental economists around the world, estimates the economic value of ecosystem services of Piatra Craiului National Park, in one of the first attempts to frame ecosystem services valuation in Romania. The approach and results include a benefit distribution analysis, for both the economic sectors and the groups of beneficiaries. Even if the data are not comprehensive and depend on several assumptions, the paper provides very important practical and policy-relevant information on the economic value of Piatra Craiului National Park, in an attempt to stimulate increasing of the budgetary allocation and economic policy priority for protected areas in Romania.

scholarly journals Exploiting Deep Learning for Wind Power Forecasting Based on Big Data Analytics

2019 ◽  
Vol 9 (20) ◽  
pp. 4417 ◽  
Author(s):  
Sana Mujeeb ◽  
Turki Ali Alghamdi ◽  
Sameeh Ullah ◽  
Aisha Fatima ◽  
Nadeem Javaid ◽  
...  
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Power Systems ◽  
Prediction Model ◽  
Wind Power ◽  
Fossil Fuel ◽  
Energy Systems ◽  
Accurate Estimation ◽  
Wind Power Forecasting ◽  
Power Forecasting

Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult. To mitigate the risk of demand-supply imbalance, an accurate estimation of wind power is essential. Recognizing this challenging task, an efficient deep learning based prediction model is proposed for wind power forecasting. The proposed model has two stages. In the first stage, Wavelet Packet Transform (WPT) is used to decompose the past wind power signals. Other than decomposed signals and lagged wind power, multiple exogenous inputs (such as, calendar variable and Numerical Weather Prediction (NWP)) are also used as input to forecast wind power. In the second stage, a new prediction model, Efficient Deep Convolution Neural Network (EDCNN), is employed to forecast wind power. A DSM scheme is formulated based on forecasted wind power, day-ahead demand and price. The proposed forecasting model’s performance was evaluated on big data of Maine wind farm ISO NE, USA.

Complex Energy Systems Exploiting Solar Energy and Natural Gas Vaporization

2002 ◽  
Author(s):  
Giacomo Bisio ◽  
Alessandro Bosio ◽  
Marco Cartesegna ◽  
Giuseppe Rubatto
Keyword(s):  
Natural Gas ◽  
Solar Energy ◽  
Fossil Fuel ◽  
Energy Systems ◽  
Electrical Energy ◽  
Thermal Source ◽  
End User ◽  
Gas Source ◽  
Considerable Impact ◽  
Liquid Natural Gas

The fossil fuel reserves are limited. In addition, usable energy supply has a considerable impact on the environment, even if some effects, which are usually alleged, are far from being fully established. Natural gas is often found in remote locations far from developed industrial nations. Where possible, the gas is transported by pipeline to the end user. However, where oceans separate the gas source and the user, or there are other difficulties, the only viable way to transport the gas is to convert it into liquid natural gas (LNG) and to convey it using insulated LNG tankers. This paper outlines the results of an examination of a complex system, employing solar energy, for the production of electrical energy and the vaporization and superheating of LNG. It is to be remarked that, differently from the usual combined systems, both the thermal source and the thermal sink are exergy sources.

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