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Geoengineering and the blockchain: Coordinating Carbon Dioxide Removal and Solar Radiation Management to tackle future emissions

Andrew LOCKLEY, Zhifu MI, D’Maris COFFMAN

《工程管理前沿（英文）》 2019年第6卷第1期页码 38-51 doi: 10.1007/s42524-019-0010-y

摘要：

Geoengineering is a proposed response to anthropogenic global warming (AGW). Conventionally it consists of two strands: Solar Radiation Management (SRM), which is fast-acting, incomplete but inexpensive, and Carbon Dioxide Removal (CDR), which is slower acting, more expensive, and comprehensive. Pairing SRM and CDR offers a contractually complete solution for future emissions if effectively-scaled and coordinated. SRM offsets warming, while CDR takes effect. We suggest coordination using a blockchain, i.e. smart contracts and a distributed ledger. Specifically, we integrate CDR futures with time and volume-matched SRM orders, to address emissions contractually before release. This provides an economically and environmentally proportionate solution to CO2 emissions at the wellhead, with robust contractual transparency, and minimal overhead cost.

关键词： Geoengineering Solar Radiation Management Carbon Dioxide Removal futures markets smart contracts blockchain

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Toward energy finance market transition: Does China’s oil futures shake up global spots market?

《工程管理前沿（英文）》页码 409-424 doi: 10.1007/s42524-022-0207-3

摘要： China is breaking through the petrodollar system, establishing RMB-dominating crude oil futures market. The country is achieving a milestone in its transition to energy finance market internationalization. This study explores the price leadership of China’s crude oil futures and identifies its price co-movement to uncover whether it truly shakes up the global oil spots market. First, we find that for oil spots under different gravities, China’s oil futures is only a net price information receiver from light-, medium-, and heavy-gravity oil spots, but it has a relatively stronger price co-movement with these three spots. Second, for oil spots under different sulfur contents, China’s oil futures still has weak price leadership in sweet, neutral, and sour oil spots, but it has strong co-movement with them. Third, for oil spots under different geographical origins, China’s oil futures shows price leadership in East Asian and Australian oil spots at the medium- and long-run time scales and strong price co-movement with East Asian, Middle Eastern, Latin American and Australian oil spots. China’s oil futures may not have good price leadership in global spots market, but it features favorable price co-movement.

关键词： China’s oil futures price information spillover price co-movement BK spillover index BDECO model

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Modeling the impact of uncertainty in emissions trading markets with bankable permits

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

《环境科学与工程前沿（英文）》 2013年第7卷第2期页码 231-241 doi: 10.1007/s11783-012-0431-x

摘要： The various forms of uncertainty that firms may face in bankable emission permit trading markets will affect firms’ decision making as well as their market performance. This research explores the effect of increased uncertainty over future input costs and output prices on the temporal distribution of emission. In a dynamic programming setting, the permit price is a convex function of stochastic prices of coal and electricity. Increased uncertainty about future market conditions increases the expected permit price and causes a risk neutral firm to reduce ex ante emissions in order to smooth out marginal abatement costs over time. Finally, safety valves, both low-side and high-side, are suggested to reduce the impact of uncertainty in bankable emission trading markets.

关键词： uncertainty bankable emission trading market performance

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TRANSFORMATION OF FOOD SYSTEMS: HOW CAN IT BE FINANCED?

《农业科学与工程前沿（英文）》 2023年第10卷第1期页码 109-123 doi: 10.15302/J-FASE-2023483

摘要：

● The analysis of financing for the transformation of food systems requires first a consideration of costs.

关键词： financial markets food systems development financing consumer expenditures public budgets Sustainable Development Goals

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Reactive power deployment and cost benefit analysis in DNO operated distribution electricity markets

Atma Ram GUPTA,Ashwani KUMAR

《能源前沿（英文）》 2019年第13卷第1期页码 86-98 doi: 10.1007/s11708-017-0456-8

摘要： The aim of this paper is to analyze unbalanced radial distribution systems (UBRDS) with the distribution static compensator (D-STATCOM). The main objectives of this paper are D-STATCOM allocation in UBRDS with an objective of providing reactive power support to enhance voltage profile and reduce line losses of the distribution network, determination of optimal D-STATCOM rating subjected to minimization of total cost, and impact of D-STATCOM placement on improving power factor and savings in cost of energy loss. The analysis is conducted on a large industrial load model with light, medium and high loading scenarios. Further, the impact of load growth is also considered for better planning of the power distribution system. The results are obtained on standard 25-bus UBRDS to check the feasibility of the proposed methodology.

关键词： unbalanced distribution system D-STATCOM voltage sensitivity index load models load growth distribution network operator (DNO)

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Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

《能源前沿（英文）》 2017年第11卷第2期页码 210-232 doi: 10.1007/s11708-017-0460-z

摘要： In this paper, the main contributions to congestion management and electricity pricing, i.e., nodal, zonal, and uniform electricity pricing, are surveyed. The key electricity market concepts are structured and a formal model framework is proposed for electricity transportation, production, and consumption in the context of limited transmission networks and competitive, welfare maximizing electricity markets. In addition, the main results of existing short-run and long-run congestion management studies are explicitly summarized. In particular, the important interconnection between short-run network management approaches and optimal long-run investments in both generation facilities and network lines are highlighted.

关键词： nodal pricing zonal pricing uniform pricing competitive electricity markets welfare maximization redispatch optimization models

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square technique

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

《能源前沿（英文）》 2016年第10卷第1期页码 105-113 doi: 10.1007/s11708-016-0393-y

摘要： This paper proposes the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted least square (WLS) technique in the restructured electricity markets. Price forecasting is very important for online trading, e-commerce and power system operation. Forecasting the hourly locational marginal prices (LMP) in the electricity markets is a very important basis for the decision making in order to maximize the profits/benefits. The novel approach proposed in this paper for forecasting the electricity prices uses WLS technique and compares the results with the results obtained by using ANNs. To perform this price forecasting, the market knowledge is utilized to optimize the selection of input data for the electricity price forecasting tool. In this paper, price forecasting for Pennsylvania-New Jersey-Maryland (PJM) interconnection is demonstrated using the ANNs and the proposed WLS technique. The data used for this price forecasting is obtained from the PJM website. The forecasting results obtained by both methods are compared, which shows the effectiveness of the proposed forecasting approach. From the simulation results, it can be observed that the accuracy of prediction has increased in both seasons using the proposed WLS technique. Another important advantage of the proposed WLS technique is that it is not an iterative method.

关键词： day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving entities

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戴星宇：New Findings in the Interplay between Carbon and Energy Markets during EU ETS Phase |||：Higher-Order

2022年06月10日

关键词：能源

基于智能体的联网级可再生能源接入模拟及需求响应研究 Artical

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

《工程（英文）》 2015年第1卷第4期页码 422-435 doi: 10.15302/J-ENG-2015109

摘要：

本文收集并综合了基于智能体的联网级模型准稳态模拟的技术要求、实施和验证方法，特别关注了可再生发电的接入和可控负荷方面的问题。介绍了已接入可控负荷的建模方法，并将其作为联网规划研究的发电资源置于同一控制与经济建模架构中。本文利用系统参数检验模型的性能，这些参数为联网所用的标准参数，其规模接近西部电力协调委员会(WECC) 规定的规模，控制区域约为系统的1/100。检验结果被用于说明和验证所述的方法。

关键词：联网研究需求响应负荷控制可再生能源接入基于智能体的模拟电力市场