• Energy Research
• 2016-2025close
• Restricted close
• Open Source close
• Embargo close
• 7. Clean energy close
• 2. Zero hunger close

The present study is motivated by the need to decouple economic growth from environmental degradation given the new wave of chase for higher economic growth trajectories comes with its environmental cost implications, especially among developing blocs like the Emerging 7 (E7) countries. There is a consistent trade-off between economic growth versus environmental quality. Government apparatus are perpetually on the chase for low-carbon emission policies via the pursuit for green economy. To this end, this present study extends the conventional environmental Kuznets curve (EKC) argument by incorporating the role of institution in emerging industrialized economies (E7) and using second-generation panel analysis methods like mean group (MG), augmented mean group (AMG), common correlated effects mean group (CCEMG), and the Dumitrescu and Hurlin causality test for more robust estimates and inferences. To this end, we explore the long-run and causality relationship between economic growth, quadratic form of economic growth, institutional quality, trade flow, investment in energy sector, and financial development in an EKC environment. Empirical analysis established a long-run equilibrium relationship among the outlined variables over the study period. The long-run regression shows the presence of EKC in the E7. Thus, suggesting the preference for GDP growth over environmental quality at the earlier stage of growth curve. Interestingly, investment in energy, trade flow dynamics across the blocs, and financial development dampens the detrimental effect of environmental pollution as we observed negative relationship with the ecological footprint. On the contrary, quality of institution is weak as institutional quality increase (worsen) the quality of environment in the E7 economies. From a policy perspective, this current study proposed the need for more stringent environmental treaties and regulations and promotion of green economy without compromising economic growth. In the conclusion part of the study, more details and specifics about the policy blueprint are presented.

This final paper will describe the method of measuring operational parameters of wind farms. Measurements carried out in the field and the necessary legislative regulations for the construction of wind farms will be requested. The process of building a wind farm is shown through preliminary research in the area of the future wind farm, which takes about three years. Then follows the process of obtaining the necessary permits. During construction and after its completion, the emphasis is on carrying out technical tests and measurements. These tests are important regarding the safety, reliability and quality of the installed equipment. This paper will present an overview of the methods of measuring the operational parameters of wind farms, the energy aspects of wind and the necessary legislation in the regulation of the construction of wind farms. U ovom završnom radu opisat će se metoda mjerenja operativnih parametara vjetroparka. Prikazat će se mjerenja provedena na terenu i potrebna zakonodavna regulativa za potrebe izgradnje vjetroparkova. Proces izgradnje vjetroelektrane prikazan je kroz preliminarna istraživanja na području buduće vjetroelektrane, što traje cca tri godine. Potom slijedi proces ishođenja potrebnih dozvola. Tijekom izgradnje i nakon njezina završetka naglasak je na provođenju tehničkih ispitivanja i mjerenja. Ta ispitivanja bitna su glede sigurnosti, pouzdanosti i kvalitete ugrađene opreme. Kroz ovaj rad prikazat će se pregled metoda mjerenja operativnih parametara vjetroparkova, energetski aspekti vjetra te potrebna zakonodavstva u regulaciji izgradnje vjetroparkova.

Dolomite-based binders are characterised by interesting technical and environmental features. For their synthesis, sources of both CaO and MgO are required. The idea developed in this work is to couple the synthesis of dolomite-based binders, starting from a natural dolomite, through the concept of concentrated solar energy (needed to drive the endothermal dolomite calcination process) in fluidised bed reactors. To this end, a fluidised bed system, where the concentrated solar radiation is mimicked by the use of Xe-lamps (short-arc), has been set up and operated. Natural dolomite (sieved in the 420-590 ?m size range) was calcined at a nominal temperature of 850 °C, and bed temperature profiles during solar-driven calcination were investigated. Then, four binders were prepared by mixing slaked dolomite (obtained from the hydration of solar calcined dolomite) with either blast furnace slag or coal fly ash as supplementary cementitious materials. The binders were hydrated for curing times ranging from 7 to 56 days. X-ray fluorescence, X-ray diffraction and combined differential thermal and thermogravimetric analyses were employed as characterisation techniques both to analyse the chemical composition of starting materials and to investigate the evolution of the hydration in the four systems.

In this paper a grid-tied photovoltaic (PV) cascaded H-bridge (CHB) inverter with embedded storage units is proposed. The multi-input single-output inverter architecture allows a distributed maximum power point tracking (DMPPT) approach, thus mitigating the mismatch effects. The energy storage units (ESUs) embedded at each dc-link provides more flexibility to the power circuit compensating for the inherent variability of the PV sources. The proposed power system ensures a continuous power supply to the grid also in case of PV power fluctuations due to irradiance conditions as well as to the MPPT. In particular, the presence of a storage element allows a voltage sweep on the PV source to be implemented, thus guaranteeing the maximization of PV energy harvesting, with no detrimental effect on the power delivery to the utility network. The numerical results, carried out on a single-phase nineteen-level PV CHB inverter, reveal the improved performance of the proposed design and control technique.

This work presents a crude bioethanol fueled integrated power system for backup and off-grid applications. The system is based on ethanol steam reformation to hydrogen that is used in polymer electrolyte fuel cells to produce electricity. We introduce the system design and overall system specifications, and report the experimental process of defining specifications for the produced hydrogen quality, a key variable affecting the final system cost, efficiency and durability. Results from development of individual subsystems are also presented together with discussion on the complete system integration.

Nowadays, many islands worldwide are lack of electrical energy. Thus, it is convenient to exploit available renewable energy sources, among which sea waves near the islands. This paper focuses on the power conversion system coupled with an offshore wave energy device, such as an improved linear generator, to be used for sea wave energy harvesting. Particularly, the design of the linear generator has been proposed to improve the energy efficiency of the entire system. The proposed power conversion system is composed by two Boost Rectifier (BR) directly coupled to the linear generator, and one Voltage Source Inverter (VSI), which it is used as front-end between the DC-bus and the grid. The proposed converters are realized using the Silicon Carbide (SiC) devices in order to improve the efficiency. Furthermore, the control strategy to regulate the generator side and grid side currents has been implemented. The proposed system has been validated using the Hardware-In-the-Loop (HIL) test bench and 20 kW SiC power converters.

Radiation use efficiency values estimation based on the biomass increment (one approach) and on NPP from eddy covariance (two approaches) estimation of NPP brings the values of 0.13, 0.40, and 0.47 g (C) MJ −1 , respectively. The productivity of terrestrial ecosystems is primarily reliant on the absorption of solar radiation energy and its conversion into biomass. Monteith (1977) first introduced the concept of radiation use efficiency (RUE), which expresses the effectiveness of a plant stand to use solar radiation for the formation of new biomass and to maintain existing biomass. The presented paper uses a long-term, decadal, time series of biomass data, which is based on forest inventory data and an allometric relation, and on the application of eddy covariance (EC) estimation of Net Primary Production (NPP). These approaches provide different values of light use efficiency (LUE). LUE is based on direct carbon exchange estimation, LUE i , which denotes instantaneous efficiency based on the relationship between the daily sum of incident global radiation (GR i ) and NPP and LUES, calculated as the ratio between the sum of NPP and the sum of GR i per growing season. RUE is based on direct yearly biomass increment expressed in carbon units (carbon = 0.5 × biomass) divided by the sum of GR i per year. The obtained values amount to 0.13, 0.40, and 0.47 g(C) MJ−1 for RUE, LUES, and LUE i , respectively. The higher value of LUE i reflects a direct relation with the efficiency of photosynthetic carbon pumping. In contrast, the RUE value, based on biomass inventories, is the result of woody mass formation that is caused by several mutually related physiological processes and “wastages” of radiation utilization.

Abstract This paper examines the effects of foreign trade and foreign direct investment (FDI) on CO 2 emissions in Turkey. We consider linear and nonlinear ARDL models and find significant asymmetric effects of exports, imports and FDI on CO 2 emissions per capita. However, FDI has no statistically significant long-run effects. In the long run, decreases in exports reduce CO 2 emissions per capita but increases in exports have no statistically significant effects. Increases in imports push up CO 2 emissions per capita, while decreases in imports have no long-run effects. On the other hand, CO 2 intensity, which measures CO 2 emissions per unit of energy, is not influenced by exports and imports, nor by FDI. Instead, it is affected positively by financial development and urbanization. Also, we find that an environmental Kuznets curve is present for both CO 2 measures so that increases in real GDP per capita have led to reductions in CO 2 emissions for at least the most recent decade, controlling for other confounding factors. Furthermore, the sectoral shares of CO 2 emissions in total CO 2 emissions change asymmetrically with foreign trade for two of four sectors, with export increases leading to lower CO 2 shares and imports having the opposite effect.