Demand Side Management in Pellet Production: Internal and External Factors

Self Cite

The European Union’s climate and energy policy for 2030 sets ambitious targets and will challenge current energy use patterns. At the same time, policy objectives are to maintain energy affordable for business and consumers, which means that energy and climate goals should be achieved in the most cost-effective way. There is a well-known energy efficiency gap between effectively implemented energy efficiency measures and potentially economically viable ones. The authors have made a statistical analysis of the energy costs intensity of manufacturing industries in Latvia compared to other Baltic Sea countries and have consented that the three most energy consuming manufacturing industries in Latvia show a higher share of energy costs in total production costs than in their peers over a long period of time, indicating the clearly visible possibilities for energy efficiency improvements. At the same time, Latvian energy policy provides subsidies for energy-intensive manufacturing consumers by reimbursing part of their actual electricity costs. The paper analyses the amounts of reimbursements and their breakdown by manufacturing industries, identifying the most important beneficiaries of subsidies. The authors argue that beneficiaries should direct these subsidies to further energy efficiency improvements.

Section: Manufacturing Of Wood and Wood Productsmentioning

confidence: 93%

“…Secondly, according to various studies [5]- [9] the potential for energy efficiency improvements in manufacturing industries in Latvia is clearly apparent. International studies suggest that energy efficiency measures as investments at company levels compete with the price of commodity.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Obligations and Subsidies to Energy Intensive Industries in Latvia

Locmelis

Bariss

Blumberga

2019

Self Cite

“…Load-shifting is a basic tool of demand management which is also used outside the context of electric power. For example, a demand side management case study in a pellet production facility is presented in [11]. Efficiency is another management tool often related to load-shifting.…”

Section: Renewable Generation and Load-shifting: A Short Reviewmentioning

confidence: 99%

The Merit-Order Effect of Load-Shifting: An Estimate for the Spanish Market

Roldán-Fernández

Payán

Santos

2020

AbstractRenewable producers can offer selling bids with very low marginal cost since they are not obliged to include on any cost related to the use of energy from the wind or sun. Accordingly, when the Market Operator integrates a renewable bid in the merit-order generation curve, all the generators based on conventional technologies, with higher marginal cost due to the cost of fuels, are displaced to the right. The right-shifting of the merit-order generation curve leads to a lower clearing price, a small increment of the traded energy (almost inelastic demand curve), and a reduction of the total cost of the energy traded in the wholesale market. This is the key mechanism of the well-known merit-order effect of renewables. Load-shifting (demand-side management) plans are expected to yield a reduction of the cost of the traded energy for the customers, since the cost-saving due to the energy eschewed at peak hours would be greater than the extra cost due to the increased demand at off-peak hours. This work will show that the main effects of load-shifting on the market are qualitatively similar to that of renewables, which exemplify the existence a “merit-order effect of load-shifting”. To analyse the characteristics of the merit-order effect of load-shifting, a simplified model has been developed, based on the displacement of the generation and demand curves. A set of scenarios has been generated in order to quantify the main effects on the Spanish/Iberian market for 2015.

“…The results of this research could also be applied to environmental problem management under the sustainable production concept with a limitation of administrative resources. This leads to efficient environmental consumption by society [17], [20]. The classification of natural resources and environmental capital of the whole system can be implemented at the micro level [2], while the classification from Green Value Added and the Forward Linkage is for decision making at a macro level [1].…”

Section: The Machinery Sectors With the Highest Environmental Cost Inmentioning

confidence: 99%

Model of Environmental Problems Priority Arising from the use of Environmental and Natural Resources in Machinery Sectors of Thailand

Sutthichaimethee

Sawangdee

2016

The objective of this research is to propose an indicator to evaluate environmental impacts from the Machinery sectors of Thailand, leading to more sustainable consumption and production in this sector of the economy. The factors used to calculate the Forward Linkage, Backward Linkage and Real Benefit were the Total Environmental Costs. The highest total environmental cost was Railway Equipment which needs to be resolved immediately because it uses natural resources more than its carrying capacity, higher environmental cost than standard, and contributes low real benefit. Electric Accumulator & Battery, Secondary Special Industrial Machinery, Motorcycle, Bicycle & Other Carriages, and Engines and Turbines need to be monitored closely because they are able to link to other production sectors more than any other production sectors do, and they have high environmental cost. To decide a sustainable development strategy of the country, therefore, results of this research must be used to support decision-making.