scholarly journals Identification of Opinion Leaders and Followers—A Case Study of Green Energy and Low Carbons

2020 ◽  
Vol 10 (23) ◽  
pp. 8416
Author(s):  
Chun-Che Huang ◽  
Wen-Yau Liang ◽  
Po-An Chen ◽  
Yi-Chin Chan
Keyword(s):  
News Media ◽  
Green Energy ◽  
Opinion Leaders ◽  
Interaction Patterns ◽  
Business Organization ◽  
Low Carbon ◽  
Solution Approach ◽  
Carbon Reduction ◽  
Leaders And Followers

In recent years, with the development of Web2.0, enterprises, government agencies, and traditional news media, which have been positively influenced by opinion leaders, have been dedicated to understanding leaders’ opinions on the web in order to seek convergence. Specifically, with the increase of environmental awareness, the introduction of green energy and carbon reduction technology has become an important issue. Consequently, studies identifying opinion leaders and followers who are interested in green energy and low carbon have become important. This study aims to find a solution that can identify the characteristics of opinion leaders and followers that can be widely used, which will help certain public policies or issues to be more effectively disseminated in the future. To model the characteristics of opinion leaders and their influence on followers, this study uses a dual matrix. The interaction patterns are recognized among opinion leaders and followers, with the aim of developing public policy to promote green energy and low carbon emissions. A case is studied to validate the superiority of the proposed solution approach. With the proposed approach, a (business) organization can identify and access opinion leaders and their followers. Through communication, these organizations can absorb strain and preserve functions despite the presence of adversity. This study also clearly demonstrates its contribution and novelty through comparisons with the existing alternative method.

scholarly journals Analyzing Political Marketing in Indonesia: A Palm Oil Digital Campaign Case Study

2020 ◽  
Vol 4 (2) ◽  
pp. 294
Author(s):  
Fajrina Khairiza ◽  
Bevaola Kusumasari
Keyword(s):  
Social Network ◽  
Palm Oil ◽  
News Media ◽  
Public Support ◽  
Political Marketing ◽  
Interaction Patterns ◽  
Brand Advocacy ◽  
The Government ◽  
Governmental Institutions

Social media in political marketing is an emerging area of research. This study explains how social networks are constructed in a digital campaign, identifying key actors, and messages involved in modern political marketing. A hotly contested palm oil campaign in Indonesia serves as a case study to analyze and visualize the messaging content found in digital campaigns. Social Network Analysis (SNA) was used to map the social network sites in Twitter and to track social interaction patterns in the #SawitBaik campaign. The results confirmed that state institutions, non-governmental institutions, news media, and individuals were key actors in the digital campaign. The actors’ roles varied from providing information and supporting palm oil activities to criticizing palm oil activities and promoting campaign events. Most tweets were critical of the government, serving as brand advocacy. The #SawitBaik campaign is also an example of political marketing used by a government in order to influence its citizens. In this case, the goal was to shape and win public support by legitimizing palm oil activities in Indonesia.

scholarly journals A Case Study of Green Energy Roofs in Taiwan Using Financial Analyses

2021 ◽  
Vol 10 (3) ◽  
pp. 12-20
Author(s):  
Meng-Yi Liu ◽  
Dan Lin
Keyword(s):  
Risk Management ◽  
Net Present Value ◽  
Payback Period ◽  
Green Energy ◽  
Low Carbon ◽  
Carbon Policy ◽  
Investment Appraisal ◽  
Investment Returns ◽  
Management Schemes

As part of the low-carbon policy and development in Taiwan, the Bureau of Energy introduced the “Green Energy Roofs Project” in 2017, which encouraged homeowners to install green energy roofs. However, the incentives of homeowners and solar photovoltaic operators to participate in this Project were low. The aim of this study is to propose and evaluate alternative models for investing green energy roofs. The contributions of this study are that, first, we consider factors such as risk management schemes and crowdfunding that have not been considered in evaluating green energy roofs project. In addition, this study provides a solution to Taiwan government’s current dilemma about how to encourage homeowners to install green energy roofs. This study adopts five common investment appraisal methods (including payback period, discounted payback period, net present value, internal rate of return and profitability index) to evaluate four different models for investing green energy roofs. The results show that when homeowners are fully responsible for installation costs of green energy roofs with partial funds borrowed from banks and with consideration of risk management, the homeowners have better investment returns. Therefore, the Taiwan government could consider the alternative strategy proposed in this study for promoting green energy roofs so that the country can x`move a bigger step forward towards the goal of being nuclear-free.

Energy Transition: Optimizing Existing E&P Value and Clean Energy Potential

2021 ◽  
Author(s):  
Paul Allan ◽  
Richard Brogan
Keyword(s):  
Carbon Footprint ◽  
Energy Transition ◽  
Clean Energy ◽  
Mitigation Strategies ◽  
P Value ◽  
Low Carbon ◽  
Carbon Reduction ◽  
Trade Offs ◽  
Wide Range

Abstract Reduction of CO2 emissions has become a key component of many E&P company strategies, reflecting the accelerating demands of interest groups, activist investors, and country specific legislation for specific targets and measures of carbon footprint reduction. Underlying this requirement for change are the existing investments and cash flows resulting from the core ‘conventional’ business opportunities, that while potentially carbon heavy generate the cashflows needed to sustain and grow the business. Our work with several major energy firms has shown that assumptions and decisions impacting the pace of needed change need to be carefully tested, as many of the optimal decisions are counter intuitive. An example at a large integrated company was the insight that expansion of its shale resource investments accelerated the transition to a lower carbon footprint, given the cashflow generation and potential to advance low carbon alternatives in parallel. A portfolio model has been developed that replicates many of the options a company might assess in developing a strategy for carbon reduction and energy transition. This includes estimations of carbon generation from existing businesses as well as carbon reducing strategies ranging from carbon capture to new clean energy sources such as wind, solar, or hydrogen. A case study is used to represent the existing performance delivery and expectations for a large, integrated oil firm as it ‘transitions’ into a cleaner, low-carbon company. This modelling provides a window into the complexity of timing trade-offs, criticality in specific early investments, and drivers to the decisions surrounding a transitional business. The impacts of stasis, premature ‘forced’ transition, and errors in new clean energy ‘bets’ are assessed and tested, providing insights into risk mitigation strategies and alternatives. The case study clarifies the complexity in trade-offs within what appears to be a ‘simple’ energy transition strategy. This highlights the value and insights resulting from quantitative modelling of these decision structures. This paper provides examples of current methods of quantifying and assessing carbon reducing strategies. As the actual costs of generation depends on political considerations and societal demands, a wide range of typical company assumptions is outlined. In assessing alternative sources, the paper outlines the related ‘costs’ in the most touted clean-energy alternatives, both in the costs of implementation as well as the possible costs or charges resulting from future carbon generation. While most integrated energy companies have considered carbon reduction within their strategic plans for many years now, the investments in carbon reduction are for the most part negligible in comparison to conventional investments. International attention to carbon reduction and changes in societal expectations are putting additional pressures on companies to adapt more rapidly. However, transition introduces additional uncertainty, as seen by the possibility of a reduction in the credit ratings of some companies. Planning and understanding the proposed path is key to success.

Carbon Reduction in Mega Event’s Building: a Case Study of China Pavilion

2014 ◽  
Vol 997 ◽  
pp. 766-769
Author(s):  
Lin Hui Zeng ◽  
Guang Ming Li ◽  
Song Li ◽  
Yong Zheng
Keyword(s):  
Vital Role ◽  
Solar Photovoltaic ◽  
Low Carbon ◽  
Carbon Mitigation ◽  
Generation System ◽  
Carbon Reduction ◽  
Greenhouse Gases Emissions ◽  
Power Generation System ◽  
Made In

Building sector is one of the main sources of anthropogenic greenhouse gases emissions. Comprehensive countermeasures are needed in cities to mitigate carbon emissions from buildings. This paper reviewed sustainable strategies that implemented in China Pavilion, the main exhibition building of Expo 2010 Shanghai China, and analyzes the achievement that the building has made in carbon mitigation. The results showed that energy saving design in construction and energy efficient technologies in appliance played a vital role in energy reduction and carbon mitigation in building. It also showed that solar photovoltaic power generation system applied in building would bring carbon reduction. The technologies bring with the building a reduction 6.5 kt CO2 each year. These green measures not only helpful in realize the goal of green event, but also will play a role in realizing low carbon society in the future.

Determinants and barriers of PV self-consumption in Spain from the perception of the installers for the promotion of distributed energy systems

2020 ◽  
pp. 153-169
Author(s):  
José Ángel Gimeno ◽  
Eva Llera Sastresa ◽  
Sabina Scarpellini
Keyword(s):  
European Union ◽  
Energy Transition ◽  
Legal Framework ◽  
Low Carbon ◽  
The European Union ◽  
Distributed Energy ◽  
Sustainable Solutions ◽  
Highly Sensitive ◽  
Transition Scenario

Currently, self-consumption and distributed energy facilities are considered as viable and sustainable solutions in the energy transition scenario within the European Union. In a low carbon society, the exploitation of renewables for self-consumption is closely tied to the energy market at the territorial level, in search of a compromise between competitiveness and the sustainable exploitation of resources. Investments in these facilities are highly sensitive to the existence of favourable conditions at the territorial level, and the energy policies adopted in the European Union have contributed positively to the distributed renewables development and the reduction of their costs in the last decade. However, the number of the installed facilities is uneven in the European Countries and those factors that are more determinant for the investments in self-consumption are still under investigation. In this scenario, this paper presents the main results obtained through the analysis of the determinants in self-consumption investments from a case study in Spain, where the penetration of this type of facilities is being less relevant than in other countries. As a novelty of this study, the main influential drivers and barriers in self-consumption are classified and analysed from the installers' perspective. On the basis of the information obtained from the installers involved in the installation of these facilities, incentives and barriers are analysed within the existing legal framework and the potential specific lines of the promotion for the effective deployment of self-consumption in an energy transition scenario.

scholarly journals Challenges and Barriers for Net‐Zero/Positive Energy Buildings and Districts—Empirical Evidence from the Smart City Project SPARCS

Buildings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 78
Author(s):  
Daria Uspenskaia ◽  
Karl Specht ◽  
Hendrik Kondziella ◽  
Thomas Bruckner
Keyword(s):  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
Scale Up ◽  
Practical Experience ◽  
Positive Energy ◽  
Low Carbon ◽  
Net Zero ◽  
Multidimensional Representation

Without decarbonizing cities energy and climate objectives cannot be achieved as cities account for approximately two thirds of energy consumption and emissions. This goal of decarbonizing cities has to be facilitated by promoting net-zero/positive energy buildings and districts and replicating them, driving cities towards sustainability goals. Many projects in smart cities demonstrate novel and groundbreaking low-carbon solutions in demonstration and lighthouse projects. However, as the historical, geographic, political, social and economic context of urban areas vary greatly, it is not always easy to repeat the solution in another city or even district. It is therefore important to look for the opportunities to scale up or repeat successful pilots. The purpose of this paper is to explore common trends in technologies and replication strategies for positive energy buildings or districts in smart city projects, based on the practical experience from a case study in Leipzig—one of the lighthouse cities in the project SPARCS. One of the key findings the paper has proven is the necessity of a profound replication modelling to deepen the understanding of upscaling processes. Three models analyzed in this article are able to provide a multidimensional representation of the solution to be replicated.

scholarly journals LEAP-Based Greenhouse Gases Emissions Peak and Low Carbon Pathways in China’s Tourist Industry

2021 ◽  
Vol 18 (3) ◽  
pp. 1218
Author(s):  
Dandan Liu ◽  
Dewei Yang ◽  
Anmin Huang
Keyword(s):  
Greenhouse Gas ◽  
Global Climate ◽  
Ghg Emissions ◽  
Control Measures ◽  
Growth Potential ◽  
Planning System ◽  
Tourist Industry ◽  
Low Carbon ◽  
Carbon Reduction ◽  
Co2 Equivalent

China has grown into the world’s largest tourist source market and its huge tourism activities and resulting greenhouse gas (GHG) emissions are particularly becoming a concern in the context of global climate warming. To depict the trajectory of carbon emissions, a long-range energy alternatives planning system (LEAP)-Tourist model, consisting of two scenarios and four sub-scenarios, was established for observing and predicting tourism greenhouse gas peaks in China from 2017 to 2040. The results indicate that GHG emissions will peak at 1048.01 million-ton CO2 equivalent (Mt CO2e) in 2033 under the integrated (INT) scenario. Compared with the business as usual (BAU) scenario, INT will save energy by 24.21% in 2040 and reduce energy intensity from 0.4979 tons of CO2 equivalent/104 yuan (TCO2e/104 yuan) to 0.3761 Tce/104 yuan. Although the INT scenario has achieved promising effects of energy saving and carbon reduction, the peak year 2033 in the tourist industry is still later than China’s expected peak year of 2030. This is due to the growth potential and moderate carbon control measures in the tourist industry. Thus, in order to keep the tourist industry in synchronization with China’s peak goals, more stringent measures are needed, e.g., the promotion of clean fuel shuttle buses, the encouragement of low carbon tours, the cancelation of disposable toiletries and the recycling of garbage resources. The results of this simulation study will help set GHG emission peak targets in the tourist industry and formulate a low carbon roadmap to guide carbon reduction actions in the field of GHG emissions with greater certainty.

Stochastic control for risk under deregulated electricity market — a case study using a new formulation

2005 ◽  
Vol 32 (4) ◽  
pp. 719-725 ◽  
Author(s):  
Joyce Li Zhang ◽  
K Ponnambalam
Keyword(s):  
Electricity Market ◽  
Explicit Method ◽  
State Variables ◽  
Risk Minimization ◽  
Solution Approach ◽  
Second Moments ◽  
Deregulated Electricity Market ◽  
New Formulation ◽  
Dual Dynamic Programming

This paper describes the implementation of a new solution approach — Fletcher-Ponnambalam model (FP) — for risk management in hydropower system under deregulated electricity market. The FP model is an explicit method developed for the first and second moments of the storage state distributions in terms of moments of the inflow distributions. This method provides statistical information on the nature of random behaviour of the system state variables without any discretization and hence suitable for multi-reservoir problems. Also avoiding a scenario-based optimization makes it computationally inexpensive, as there is little growth to the size of the original problem. In this paper, the price uncertainty was introduced into the FP model in addition to the inflow uncertainty. Lake Nipigon reservoir system is chosen as the case study and FP results are compared with the stochastic dual dynamic programming (SDDP). Our studies indicate that the method could achieve optimum operations, considering risk minimization as one of the objectives in optimization.Key words: reservoir operations, explicit method, uncertainty, stochastic programming, risk.

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