Can Artificial Intelligence Assist Project Developers in Long-Term Management of Energy Projects? The Case of CO2 Capture and Storage

Abstract

This paper contributes to the state of the art of applications of artificial intelligence (AI) in energy systems with a focus on the phenomenon of social acceptance of energy projects. The aim of the paper is to present a novel AI-powered communication and engagement framework for energy projects. The method can assist project managers of energy projects to develop AI-powered virtual communication and engagement agents for engaging their citizens and their network of stakeholders who influence their energy projects. Unlike the standard consultation techniques and large-scale deliberative engagement approaches that require face-to-face engagement, the virtual engagement platform provides citizens with a forum to continually influence project outcomes at the comfort of their homes or anywhere via mobile devices. In the communication and engagement process, the project managers’ cognitive capability can be augmented with the probabilistic capability of the algorithm to gain insights into the stakeholders’ positive and negative feelings on the project, in order to devise interventions to co-develop an acceptable energy project. The proposed method was developed using the combined capability of fuzzy logic and a deep neural network incorporated with a Likert scaling strategy to reason with and engage people. In a mainstream deep neural network, one requires lots of data to build the system. The novelty of our system, however, in relation to the mainstream deep neural network approach, is that one can even use small data of a few hundreds to build the system. Further, its performance can be improved over time as it learns more about the future. We have tested the feasibility of the system using citizens’ affective responses to CO2 storage and the system demonstrated 90.476% performance.

Improving the quality of project management at energytech through marketing in support of sustainable and environmental development of energy economics

“…This article contributed to the development of the EnergyTech concept by clarifying the specifics of project management in support of sustainable and environmental development of energy economics. Unlike Buah et al (2020), Martinez andKomendantova (2020), andOnubi et al (2022), the authors proposed to evaluate project management in EnergyTech using qualitative rather than quantitative criteria. The essence of qualitative criteria is to determine the degree of compliance of project management with the goals of sustainable and environmental development of energy economics.…”

“…The fundamental basis of the research carried out in this article was laid by the scientific concept of EnergyTech as a field of high technologies in the energy economy. Project management at EnergyTech focuses on internal business priorities (Goyal et al, 2014;Sisodia et al, 2020;Štreimikienė et al, 2022;Teichmann et al, 2020), and therefore, this type of management is usually quantified in terms of costs and benefits, as well as their ratio (financial efficiency) (Buah et al, 2020;Martinez and Komendantova, 2020;Onubi et al, 2022).…”

Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review

“…Furthermore, AI's role in public engagement is evident in the work of Buah et al (2020) [6], who introduce a communication and engagement framework for energy projects that utilizes AI. This framework aids project managers in developing virtual agents for engaging citizens and stakeholders, showcasing how AI can be instrumental in promoting public involvement in clean energy projects, ensuring their successful implementation, and enhancing public acceptance.…”

“…AI's significant role in future carbon-neutral energy systems is becoming increasingly clear, where it aids in designing and discovering novel materials for clean energy applications, as explored by Tabor et al (2018) [3]. In the realm of clean energy, AI promises enhancements ranging from heightened efficiency [4] to strategic resource distribution [5] and informed decision-making [6,7]. Specifically, AI's role as a linchpin in future carbon-neutral energy systems is undeniable [8].…”

Yapay Zeka Teknikleri Kullanılarak Proje Üretim Sistemlerinin Tasarımı ve Geliştirilmesi

“…Giderek daha karmaşık hale gelen teknoloji uygulamalarının, mevcut endüstri standardı prosedürlerin modernize edilmesine yardımcı olacağı görüşüyle proje yönetim sürecinde yapay zeka kullanımın proje süreçlerini daha basit hale getirdiği ve verimliliği arttırmayı amaçlayan farklı uygulamalar üzerinde durulmuştur [13]. Enerji projelerinde görev alan yöneticilere, aboneleri ve paydaşları sisteme entegre etmek için yapay zeka desteği bulunan sanal iletişim ve sürece katılımı destekleyen aracı birimlerin geliştirmelerine yardımcı olan yapay zeka destekli bir iletişim modeli oluşturulmuştur [14]. Proje yönetiminde tanımlanmış olan görevlerin tahmini, ekiplerin sorumlu oldukları görevleri yerine getirme hızı ve yerine getirilme süresi tahmini gibi kritik konularda makine öğrenmesi ile çeşitli iyileştirme süreçleri önerilmektedir.…”