scholarly journals Improving Energy Efficiency in a Synchronized Road-Transportation System by Using a TFMC (Transportation Fleet-Management Control) in Finland

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 670 ◽  
Author(s):  
Teijo Palander ◽  
Kalle Kärhä
Keyword(s):  
Energy Efficiency ◽  
High Capacity ◽  
Transportation System ◽  
Management Control ◽  
Vehicle Group ◽  
Fleet Management ◽  
Forest Industry ◽  
Low Carbon ◽  
Road Transportation ◽  
Wood Procurement

Previous studies have suggested that the use of high-capacity transportation (HCT) can lead to low-carbon road-transportation in the forest industry. This study shows the impacts (in terms of energy efficiency) of a three-year adaptation process of transportation (2014–2016) towards HCT that took place in a synchronized transportation system (STS). The use of three transportation fleet-management control (TFMC) methods was analyzed in various road infrastructures. Energy-efficiency calculations were undertaken based on the HCT vehicles’ mass limits (64, 68 and 76 t). The use of 76 t vehicles increased energy efficiency by 13.4% and reduced CO2 emissions by 3.5% (to 49.6 g/tkm). In addition, the results show that the energy efficiency of the STS could be improved by a further 3.1%. In this respect, the proposed TFMC was used to adjust the STS towards vehicle-group transportation while meeting the road-class constraints of local wood supply chains. Forest-industry companies in Finland and abroad can use the tailored TFMC to optimize the STS in the near future and to achieve the energy-efficient STS and the regulations of the European Commission in wood-procurement logistics.

scholarly journals Improving Environmental and Energy Efficiency in Wood Transportation for a Carbon-Neutral Forest Industry

Forests ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1194
Author(s):  
Teijo Palander ◽  
Hanna Haavikko ◽  
Emma Kortelainen ◽  
Kalle Kärhä ◽  
Stelian Alexandru Borz
Keyword(s):  
Energy Efficiency ◽  
Enterprise Resource Planning ◽  
Service Providers ◽  
Resource Planning ◽  
Positive Development ◽  
Forest Industry ◽  
Low Carbon ◽  
Efficiency Criterion ◽  
Carbon Neutrality ◽  
Carbon Neutral

Wood transportation is an important source of greenhouse gas emissions, which should be considered when the carbon neutrality of the forest industry is of concern. The EU is dedicated to improving technology for a carbon-neutral development. This study investigates carbon neutrality by improving road freight transportation fleets consisting of various vehicle size combinations. The environmental emission and energy efficiency of a transportation fleet were analyzed in selected wood procurement regions of Stora Enso corporation (Finland). Based on the enterprise resource planning (ERP) data (2018–2020), the environmental emission efficiency increased by 11% via 76 t-vehicles compared 64 t vehicles. The maximum reduction in fuel consumption was 26% for 92 t vehicles, though this was achieved when operations were fully adjusted to the maximum weight limit. The wood-based energy efficiency measure (wood energy/transport energy) was a useful development indicator. It showed that the adapted fleets of transportation companies support a positive development for a carbon-neutral forestry. In respect to the current legal fleet (64, 68 and 76 t), the use of 76 t vehicles increased energy efficiency most effectively, by 50%, compared to 64 t vehicles in the best region. Currently, transportation service providers and their clients are using ERP information to tailor their energy efficiency metric and to implement them locally in the transportation monitoring systems. A three-year sensitivity analysis demonstrates that the technological development of management tools to improve transportation efficiency is essential for larger and heavier vehicle utilization. In the future, the whole wood supply chain from forest to factory will also be optimized with respect to energy efficiency criterion to ensure a low-carbon forest industry.

scholarly journals The Optimum Wood Procurement Scenario and Its Dynamic Management for Integrated Energy and Material Production in Carbon-Neutral Forest Industry

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4404
Author(s):  
Teijo Palander ◽  
Jari Takkinen
Keyword(s):  
Energy Efficiency ◽  
Success Factors ◽  
Forest Industry ◽  
Forest Sector ◽  
Integrated Production ◽  
Material Production ◽  
Positive Effects ◽  
Carbon Neutral ◽  
Wood Procurement ◽  
Energy Reform

The digitalization of the forest sector, the increased demand of energy-wood, as well as faster market changes have increased the number of challenges for wood procurement of the forest industry. The aim of the study is to optimize wood procurement (upstream of supply chain) of energy and material production in integrated situations, and to consider the effects of production changes on the management of procurement regions. Three scenarios described integrated production situations in a carbon-neutral forest industry: (1) declining export, (2) energy reform, and (3) extensive energy reform. Time-varying capital-, cost-, and energy efficiency of the dynamic wood-flow model affected the competitiveness of the procurement regions. As a novel contribution, energy efficiency was modeled using the price of emission allowance as a cost parameter. The results show the positive effects of the energy reforms, which partly compensate for the declining exports. In addition, it is possible to change wood procurement in the regions in a market-oriented way. Decision makers should optimize purchases, inventories, and procurement resources as business processes, which are also considered success factors for the forest industry in integrated production situations. The strategic solution of extensive energy reform provides a potential approach for carbon-neutral customer-oriented supply chains, but it needs tactical energy efficiency analysis in future studies of sustainability, if the ultimate goal is to implement a carbon-free forest industry and bioeconomy.

scholarly journals Electric Vehicle Integration into Road Transportation, Intelligent Transportation, and Electric Power Systems: An Abu Dhabi Case Study

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1039-1057
Author(s):  
Amro M. Farid ◽  
Asha Viswanath ◽  
Reem Al-Junaibi ◽  
Deema Allan ◽  
Thomas J. T. Van der Van der Wardt
Keyword(s):  
Electric Power ◽  
Intelligent Transportation ◽  
Energy System ◽  
Transportation System ◽  
Electric Power System ◽  
Abu Dhabi ◽  
Road Transportation ◽  
Unit Distance ◽  
The Impact

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology for the same purpose, this paper presents a “systems-of-systems” case study assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the intelligent transportation system (ITS), the integration of EVs into Abu Dhabi is studied using a multi-domain matrix (MDM) of the Abu Dhabi Department of Transportation ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. The paper concludes with the need for an intelligent transportation-energy system (ITES) which would coordinate traffic and energy management functionality.

Energy models for cost-optimal analysis: Development and calibration of residential reference building models for Northern Cyprus

2021 ◽  
pp. 1420326X2110130
Author(s):  
Manta Marcelinus Dakyen ◽  
Mustafa Dagbasi ◽  
Murat Özdenefe
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Mean Squared Error ◽  
Residential Buildings ◽  
Mean Bias Error ◽  
Bias Error ◽  
Sampled Data ◽  
Low Carbon ◽  
Building Stock ◽  
Northern Cyprus

Ambitious energy efficiency goals constitute an important roadmap towards attaining a low-carbon society. Thus, various building-related stakeholders have introduced regulations targeting the energy efficiency of buildings. However, some countries still lack such policies. This paper is an effort to help bridge this gap for Northern Cyprus, a country devoid of building energy regulations that still experiences electrical energy production and distribution challenges, principally by establishing reference residential buildings which can be the cornerstone for prospective building regulations. Statistical analysis of available building stock data was performed to determine existing residential reference buildings. Five residential reference buildings with distinct configurations that constituted over 75% floor area share of the sampled data emerged, with floor areas varying from 191 to 1006 m2. EnergyPlus models were developed and calibrated for five residential reference buildings against yearly measured electricity consumption. Values of Mean Bias Error (MBE) and Cumulative Variation of Root Mean Squared Error CV(RMSE) between the models’ energy consumption and real energy consumption on monthly based analysis varied within the following ranges: (MBE)monthly from –0.12% to 2.01% and CV(RMSE)monthly from 1.35% to 2.96%. Thermal energy required to maintain the models' setpoint temperatures for cooling and heating varied from 6,134 to 11,451 kWh/year.

Lessons for low-carbon energy transition: Experience from the Renewable Energy and Energy Efficiency Partnership (REEEP)

2010 ◽  
Vol 14 (2) ◽  
pp. 83-93 ◽  
Author(s):  
Binu Parthan ◽  
Marianne Osterkorn ◽  
Matthew Kennedy ◽  
St. John Hoskyns ◽  
Morgan Bazilian ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Transition ◽  
Low Carbon ◽  
Transition Experience ◽  
Low Carbon Energy
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