Search Results (11)

The rapid growth of distributed energy resources (DERs) is transforming distribution networks and increasing the need for coordinated flexibility management to maintain secure and economically efficient operation. In this work, we examine how uncertainty in load demand and photovoltaic (PV) generation affects incentive-based flexibility coordination within a hierarchical three-level framework. The proposed architecture integrates household energy management systems (HEMSs), an aggregator responsible for incentive allocation, and a distribution system operator (DSO) model based on AC optimal power flow. To account for demand and PV variability, a $\mathrm{\Gamma }$-budget-robust optimization approach is adopted. Also, an incentive–penalty mechanism is introduced to allocate compensation according to each prosumer’s actual flexibility contribution while promoting economic fairness. The entire framework is implemented in PYOMO and tested on the IEEE 33-bus distribution system. A comparative evaluation between deterministic and uncertainty-aware cases is conducted to quantify the cost of robustness and to analyze its influence on flexibility participation, incentive distribution, household net cost, and voltage regulation performance. The results indicate that uncertainty can lead to deviations from initially scheduled flexibility commitments, thereby triggering penalty signals during re-optimization and strengthening contractual compliance. Although the robust formulation results in a moderate increase in operational cost, it substantially improves voltage compliance and overall system reliability. Overall, the findings highlight the importance of explicitly incorporating uncertainty in multi-level flexibility coordination to ensure both technical consistency and practical enforceability in modern distribution networks. Full article

Persistent inflation has intensified uncertainty in the construction industry, particularly in volatile economies. Inflation-driven risks affecting Turkish residential projects are examined in this study, focusing on rising costs, fluctuating labor and material prices, and associated risks. The power-based linguistic hedges were used to quantify dominant severity levels under uncertainty based on descriptive statistics and standard deviation thresholds. Results indicate that inflation mostly impacts projects through budget overruns and wage inflation, which exhibit the highest severity and crisis-level risk behaviors. A number of factors drive material price volatility, particularly macroeconomic instability, currency depreciation, and supply-chain disruptions. There is a sustained pressure on contractor profitability due to wage inflation. In contrast, inflation-related effects on schedule, quality, safety, and contractual disputes are secondary and context-dependent. The findings indicate a structural shift in the risk profile of Turkish residential construction, indicating a need for inflation-resilient cost management, adaptive contracting, and proactive labor planning. Full article

This study investigates the satisfaction level of dairy farmers with their collaborating dairy industries, focusing on differences between small-scale (1–100 animals) and large-scale (401–1000 animals) farms. Using survey data collected during 2011–2015, the research assesses both satisfaction and the extent to which dissatisfaction leads producers to switch partners. Findings show that larger farms report higher satisfaction due to stronger bargaining power and preferential contractual conditions, whereas smaller farms face greater insecurity and moderate satisfaction. Despite dissatisfaction, most farmers remain with the same companies, highlighting market rigidity. Results remain relevant today, emphasizing the need for policies enhancing small producers’ negotiating power and supporting cooperative structures. Full article

Recent frequent food safety incidents have heightened consumer concern about agricultural product traceability, driving companies to build more robust supply chain traceability systems. However, enhancing traceability level is not only driven by consumer preferences but is also profoundly shaped by supply chain power structures and coordination mechanisms. In this study, we investigate how consumer preferences, power structures, and contractual mechanisms jointly shape traceability investment and coordination in agricultural supply chains. Using a two-tier supplier–retailer game-theoretic model, we compare traceability levels, pricing, and profit allocation under three governance structures: vertical Nash, supplier-led, and retailer-led. We also evaluate the effectiveness of cost-sharing and revenue-sharing contracts. The results reveal several key insights. First, consumer preference for traceable products serves as a critical market-driven force that enhances traceability investment across supply chain tiers. Second, power structures fundamentally determine traceability outcomes through threshold-dependent mechanisms: when consumer preference is weak, vertical Nash structures yield superior traceability via balanced cost-sharing; however, once preference intensity surpasses critical thresholds, retailer-led structures dominate in responsiveness, profit distribution, and capability building. In contrast, supplier-led structures deliver the weakest outcomes, as concentrated cost burdens suppress investment incentives, particularly in supply chains composed of small and medium-sized suppliers. Third, coordination contracts exhibit structure-specific efficacy. Cost-sharing contracts achieve full optimization in vertical Nash contexts and yield Pareto improvements in supplier-led chains, whereas traditional contracts exert minimal influence in retailer-led settings. These findings enrich our theoretical understanding of traceability governance and provide practical guidance for differentiated traceability design and contract formulation. Full article

Efficient contract management is essential for ensuring sustainable and reliable supply chains; yet, traditional methods remain manual, error-prone, and inefficient, leading to delays, financial risks, and compliance challenges. AI and blockchain technology offer a transformative alternative, enabling the establishment of automated, transparent, and self-executing smart contracts that enhance efficiency and sustainability. As part of AI-driven smart contract automation, we previously implemented contractual clause extraction using question answering (QA) and named entity recognition (NER). This paper presents the next step in the information extraction process, relation extraction (RE), which aims to identify relationships between key legal entities and convert them into structured business rules for smart contract execution. To address RE in legal contracts, we present a novel hierarchical transformer model that captures sentence- and document-level dependencies. It incorporates global and segment-based attention mechanisms to extract complex legal relationships spanning multiple sentences. Given the scarcity of publicly available contractual datasets, we also introduce the contractual relation extraction (ContRE) dataset, specifically curated to support relation extraction tasks in legal contracts, that we use to evaluate the proposed model. Together, these contributions enable the structured automation of legal rules from unstructured contract text, advancing the development of AI-powered smart contracts. Full article

Effective cash flow management has become crucial for projects and stakeholders given the wide payment-related problems and financial risks encountered in the construction industry worldwide. Previous studies mostly addressed cash flow and payments from the perspective of a specific stakeholder, resulting in an imbalanced cash flow management culture that is further intensified by the power asymmetry of the top-down payment decision-making process. This research proposes an adaptive decision support framework for evaluating and negotiating payment options in construction projects while incorporating the individual and collective financial roles of stakeholders. The framework is comprised of three modules for data acquisition, payment simulation, analysis, and negotiation, as well as decision support. It integrates agent-based simulation, data envelopment analysis, and game theory for a multi-level study of project performance while capturing the driving forces of stakeholders in payment negotiations. A case study project is used to demonstrate the framework implementation under varying payment conditions and interest rates. The results provide quantitative profiles of stakeholders to identify incurred charges, balanced payment conditions, and suitable compensation. Finally, the framework can be utilized by stakeholders and jurisdictions to move towards enhanced contractual arrangements that alleviate economic and financial risks with the informed collaboration of its entities. Full article

The attention paid to energy consumption is growing steadily due to the costs associated with energy usage as well as the resulting environmental impacts. This work proposes an analytical method to assess the energy consumption and the power requirements of a productive system. By exploiting queuing theory, it is possible to achieve a probabilistic view of energy consumption. This method is useful to define the contractual power level and calculate the service level associated with it, so it is applicable as a decision-support tool during the design of productive systems when it is not possible to obtain field data (green-field design). Three different models characterised by an increasing degree of complexity were exploited. The three models share the feature of an infinite number of servers, while the increasing complexity is due to the introduction of batch arrivals and the variability of the size of the arrival lot. A connection is made between production variables and power used by machines to consider energy consumption. A numerical example shows the applicability of the method and highlights the different results obtained through the three models. In addition, analytical formulations are available for all three proposed models; thus, no simulation process is needed. Full article

Today’s geopolitical and economic situation (negative economic effects of COVID-19; war in Ukraine) adversely affects the energy market situation. These circumstances make it necessary to quickly adapt the previously adopted long-term strategies for transforming the energy market to maximise the country’s energy security through greater diversification and energy self-reliance. The legal systems of the Member States, including Poland, provide for various instruments to support the production of electricity from renewable sources. However, each Member State has a different potential for producing energy from renewable sources (later as RES), so the measures used to promote the use of energy from renewable sources in the broad sense are tailored to achieve the desired level of renewable energy production, particularly under EU law. For this reason, a variety of support models are used in the Member States, which are subdivided into direct (e.g., feed-in tariffs) and indirect (e.g., tax credits). However, state support schemes for renewable energy production do not always allow producers to have stable, long-term revenues and sources of additional income that guarantee the possibility to raise external financing for RES projects. However, irrespective of the support measures used in individual countries, European electricity markets (following the American system) have created a non-public instrument—the power purchase agreement (later PPA or PPAs). In 2021 alone, Europe saw record volumes of renewable energy contracted under PPAs—6.9 GWh. Despite the importance of PPAs for the development of renewable energy (most evident in the Danish, Finnish, British and Norwegian markets), Polish legal acts do not apply this contractual construct. Although Polish law creates the possibility for energy market participants to establish PPAs, these agreements will not be a key instrument for the development of renewable energy at the local level, as they are not a sufficient alternative to the current public forms that support renewable energy generation in Poland. This analysis proves that the existing status of regulations in Poland means that PPAs have limited significance and are rather dedicated to entities that will be able to face up to administrative, legal and technological barriers as an addition to the public support system. The analyses conducted are theoretical in nature. The research is based on the dogmatic approach (the analysis of the law in force) applied in the science of law, which is part of the social sciences. Full article

This paper proposes a novel control strategy in which Renewable Energy Sources (RES) considered in a new Dynamic Virtual Power Plant (DVPP) concept directly participate to Secondary Frequency Control (SFC). This allows full participation of these generators to SFC, i.e., in the same manner as classic synchronous generators by fulfilling identical specifications from both control and contractual points of view. An internal real-time redispatch has been proposed to account in DVPP in order to determine the amount of active power injection by each RES unit for the provision of frequency support at the secondary level. The whole control scheme is designed to take into account both rapid and slow dynamics of modern power systems which contain both classic synchronous generators and rapid power electronics for renewable energy sources in which DVPP is supposed to be inserted. The performance of secondary frequency control strategy has been validated through simulation studies on a two-area benchmark with mixed wind power plants and classic synchronous generators. This work is part of the H2020 POSYTYF project Full article

Background: The provision of home-based care for frail older adults in Italy and Israel is predominately provided by live-in migrant care workers (MCWs). However, despite the important role that they play in filling the demand for home care, MCWs often experience labor rights violations. This not only impacts the well-being of MCWs but also leads to lower-quality care being provided to people in need of support. Method: This scoping review used Arksey and O’Malley’s methodological framework to map literature. This article aims to analyze the scope, main topics, themes and gaps in the existing academic literature on how micro and macro level indicators impact the working and living conditions of live-in MCWs in Italy and Israel. Scopus, Pubmed, and Web of Science Core Collection were searched for peer-reviewed articles. Search terms were adapted from the Multilevel Framework of Transnational Care Migration (MFTCM). Themes were developed using Braun and Clarke’s method for conducting reflexive thematic analysis. Articles were included if they focused on Italy and/or Israel, included analysis on the working and living conditions of live-in MCWs at the macro and/or micro levels, were written in English, and were published between 2015 and 2020. Results: Out of the 1088 articles retrieved, 33 met the inclusion criteria. A total of 18 articles focused on Italy and 14 on Israel, and one focused on both Italy and Israel. The majority of articles in Italy (84 per cent) and Israel (53 per cent) included analysis on care regimes. Only 37 per cent of articles in Italy and 20 per cent in Israel included analysis on gender regimes. At the micro level, 80 per cent of articles in Israel discussed Power/Class Asymmetry, compared to 37 per cent in Italy. In total, six themes were developed. At the macro level, these themes included funding care work, MCWs as a pragmatic approach, care in the home, and valuing care work. At the micro level, the themes included being part of the family, and perceptions on class asymmetries. The findings presented in this review show that MCWs in both Italy and Israel face many of the same challenges in accessing decent work opportunities, despite contrasting employment and migration policies in each country. This can be partially attributed to the undervaluing of care work because of racialized and gendered notions of care. At the macro level, this has contributed to a lack of political will to develop long-term sustainable solutions to create or monitor decent work standards for MCWs. At the micro level, this has led to power imbalances between MCWs and people in need of care and their family members, resulting in MCWs being expected to work hours beyond those contractually allowed, having little to no time off, and experiencing emotional, physical, and sexual abuse. Conclusion: This study provides a review of the most recent contributions to the fields of labor migration and health concerning the MCW markets in Italy and Israel. While there have been many studies in each country that detail the labor rights violations experienced by MCWs, this is the first review that develops themes around the underlying causes of these violations. By thematically analyzing the findings of recent studies and current gaps in existing knowledge, this scoping review assists in building the groundwork for the development and implementation of policy, strategies, practice and research to improve the rights and migration experiences of MCWs. Full article

Construction projects are highly risk-prone due to both internal factors (e.g., organizational, contractual, project, etc.) and external factors (e.g., environmental, economic, political, etc.). Construction risks can thus have a direct or indirect impact on project objectives, such as cost, time, safety, and quality. Identification of these risks is crucial in order to fulfill project objectives. Many tools and techniques have been proposed for risk identification, including literature review, questionnaire surveys, and expert interviews. However, the majority of these approaches are highly reliant on expert knowledge or prior knowledge of the project. Therefore, the application of such tools and techniques in risk identification for renewable energy projects (e.g., wind farm and solar power plant projects) is challenging due to their novelty and the limited availability of historical data or literature. This paper addresses these challenges by introducing a new risk identification framework for renewable energy projects, which combines case-based reasoning (CBR) with fuzzy logic. CBR helps to solve problems related to novel projects (e.g., renewable energy projects) based on their similarities to existing, well-studied projects (e.g., conventional energy projects). CBR addresses the issue of data scarcity by comparing novel types of construction projects to other well-studied project types and using the similarities between these two sets of projects to solve the different problems associated with novel types of construction projects, such as risk identification of renewable energy projects. Moreover, the integration of fuzzy logic with CBR, to develop fuzzy case-based reasoning (FCBR), increases the applicability of CBR in construction by capturing the subjective uncertainty that exists in construction-related problems. The applicability of the proposed framework was tested on a case study of an onshore wind farm project. The objectives of this paper are to introduce a novel framework for risk identification of renewable energy projects and to identify the risks associated with the construction of onshore wind farm projects at the work package level. The results of this paper will help to improve the risk management of renewable energy projects during the construction phase. Full article