Person: ÖZUYAR, Pinar
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Pinar
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ÖZUYAR
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Conference paperPublication Open Access An evaluation of energy efficiency measures in a Turkish campus building for thermal comfort and economic risk(International Building Performance Simulation Association, 2015) Wang, Q.; Öcal, M. Rıfat; Augenbroe, G.; Mengüç, Mustafa Pınar; Özuyar, Pınar Gökçin; Entrepreneurship; Mechanical Engineering; MENGÜÇ, Mustafa Pınar; ÖZUYAR, PinarAs new and retrofitted Turkish buildings adopt stateof-the-art energy efficiency measures, hidden risks associated with compromised thermal comfort and disappointing returns on investment could go unnoticed unless a building is subjected to an uncertainty and risk analysis. Standard deterministic predictions are not sufficient, as they do not capture the effects of uncertainty and variability with regard to local microclimate conditions, physical parameters, and discrepancies in the model formulations, also known as “model form uncertainties”. In this paper, we analyze the impact of uncertainty on the performance of a Turkish campus building. We examine the risk that an energy efficient design that is accepted because of the positive results of a conventional energy simulation, causes unacceptable discomfort and unsatisfactory returns on investment. The results of a comprehensive uncertainty analysis shows that these risks exist in certain areas and not in others. The predicted annual output of PV panels is relatively stable with only minor variability, which justifies the investment in Istanbul. Same with shading devices, which lead to a satisfactory internal rate of return under uncertainty. However, with regard to comfort we find that risks could be substantial. We find that relying completely on occupants opening and closing windows for fresh air with fan coil units maintaining the indoor temperature may lead to an insufficient supply of outdoor air for occupants and a substantial risk of overheating. Overall, the results of the analysis demonstrate that understanding risks is in some cases crucial to make an informed design decision regarding various energy saving design strategies.
Book ChapterPublication Metadata only Lessons learned about the hindering factors for regional cooperation towards the mitigation of climate change(Springer Nature, 2019) Özuyar, Pınar Gökçin; Entrepreneurship; ÖZUYAR, PinarAs the importance of climate change mitigation and adaptation increases, tools to assist these ranging from training materials, awareness raising event models to company level cooperation tools are being introduced to various stakeholders. These tools can only be effective by extensive utilisation throughout the globe which requires the communication and awareness raising on climate change. The actual implementation and impact assessment of these tools need to be further investigated. Opportunities and barriers for the use of such tools and whether climate change communication is an enhancing or hindering effect is very important in this investigation. As an example for such a tool, an industrial symbiosis model where an unorthodox regional approach is taken rather than close proximity cooperating companies, has been implemented in the Western Black Sea Region countries. The results of the study include three major barriers; namely, lack of regional policy and relevant legislation, trust among companies and a common working language in the region. The effects of other barriers and possible opportunities that would hinder these barriers are discussed in this study including the lack of regional policies on climate change based on one-to-one interviews with selected company representatives in the region. The lessons learned are significant for similar regional exemplary tools of sustainable development and climate change mitigation practices.ArticlePublication Metadata only Using machine learning tools for forecasting natural gas consumption in the province of Istanbul(Elsevier, 2019-05) Beyca, Ö. F.; Ervural, B. C.; Tatoglu, E.; Özuyar, Pınar Gökçin; Zaim, S.; Entrepreneurship; ÖZUYAR, PinarCommensurate with unprecedented increases in energy demand, a well-constructed forecasting model is vital to managing energy policies effectively by providing energy diversity and energy requirements that adapt to the dynamic structure of the country. In this study, we employ three alternative popular machine learning tools for rigorous projection of natural gas consumption in the province of Istanbul, Turkey's largest natural gas-consuming mega-city. These tools include multiple linear regression (MLR), an artificial neural network approach (ANN) and support vector regression (SVR). The results indicate that the SVR is much superior to ANN technique, providing more reliable and accurate results in terms of lower prediction errors for time series forecasting of natural gas consumption. This study could well serve a useful benchmarking study for many emerging countries due to the data structure, consumption frequency, and consumption behavior of consumers in various time-periods.Book ChapterPublication Metadata only Aligning sustainable development principles and sectoral education(Springer, 2018) Özuyar, Pınar Gökçin; Beyhan, Tugce Baykent; Entrepreneurship; ÖZUYAR, Pinar; Beyhan, Tugce BaykentThe competitive environment for new graduates to acquire a well-paid and satisfying job position and the long-standing gap between recent university graduates and business requirements as to the skills of these graduates, lead to the creation of a Sectoral Education Program model, involving seven different courses with various learning methods ranging from guest speakers, industry analyses and case studies to company practicum projects. The Sectoral Education Program model is a mandatory part of the curriculum for business students and electives for all other students university wide. Emphasized by the launch of sustainable development goals and trying to find complementary and comprehensive examples of innovative tools for private sector–university partnerships, this continuously developing model accepted one of the foci of the program as sustainable development and devised solutions that embed the teaching of sustainable development principles aligning them with concerns of business. In the embedded approach, the curriculum regarding local sectoral expertise, the crosscutting issues for all sectors from population dynamics, resource scarcity to climate change and even big data are being discussed. Over the three semesters of teaching local sectoral expertise in the light of crosscutting issues, students’ feedbacks have been recorded. Main results show that for university students the phrase sustainability is being overused but still the connotation to the real-world cannot be established. By embedding sustainable development principles directly aligned with the concerns of business sectors, majority of the students think that this know-how would be a skill for them in their future prospects.ArticlePublication Open Access Forecasting natural gas consumption in Istanbul using neural networks and multivariate time series methods(TÜBİTAK, 2012) Demirel, Ö. F.; Zaim, S.; Çalışkan, A.; Özuyar, Pınar Gökçin; Entrepreneurship; ÖZUYAR, PinarThe fast changes and developments in the world's economy have substantially increased energy consumption. Consequently, energy planning has become more critical and important. Forecasting is one of the main tools utilized in energy planning. Recently developed computational techniques such as genetic algorithms have led to easily produced and accurate forecasts. In this paper, a natural gas consumption forecasting methodology is developed and implemented with state-of-the-art techniques. We show that our forecasts are quite close to real consumption values. Accurate forecasting of natural gas consumption is extremely critical as the majority of purchasing agreements made are based on predictions. As a result, if the forecasts are not done correctly, either unused natural gas amounts must be paid or there will be shortages of natural gas in the planning periods.