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EnergyEnergy efficiency in the agroindustrial efficiency in the agroindustrial branchbranch
Support System for Collective Actions (Notification 01/SIAC/2011)
Octávio Alves
Paulo Brito, Pedro Lopes, Paula Reis
23rd May 2013
Co-financed
by:
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Contents
�Project substantiation
�Project description
�Applied methodology
�Achieved results
�Some final reflections
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� Increase of electric energy prices:
Source: ERSE 3
1. Project substantiation (cont.)
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�Failure in the compromise of GHG emissions (Kyoto Protocol):
4
1. Project substantiation (cont.)
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�Potential of agro-industrial products in the future economy:
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Concern about
health
Quality of
products Higher demand
Diversity of
products
1. Project substantiation (cont.)
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�Agroindustrial branch → promotes regional and national
economies:
6
1. Project substantiation (cont.)
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�Lack of studies about the energy profile in agro-industrial branch.
�Presence of local R&D institutions → encourages practices about
energy management.
�Problems detected when implementing energy efficiency measures:
− lack of information;
− heterogeneity of industrial processes involved.
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1. Project substantiation (cont.)
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� Industrial process → cold generation → higher energy
consumptions:
�Relevant waste of energy in cold storage chambers → loss in
competitive edge:
Cold
chamberElectric energy
(100 %)
Wasted
energy
(20 %)
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1. Project substantiation (cont.)
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2. Project description
�Main goals:
− characterization of industrial units which use cold generation in
their processes;
− development and disclosure of solutions in order to improve
energy efficiency.
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�Rows of study:
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2. Project description (cont.)
Agro-industrial
branch
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�Network of partners:
Region of
Alentejo
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2. Project description (cont.)
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� Sequence of tasks (phase 1):
3. Applied methodology
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� Sequence of tasks (phase 2):
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3. Applied methodology (cont.)
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�Selection & characterization of companies by row:
− choice of 252 agro-industrial companies scattered over the
country;
− 36 companies for each partner (distributed by the 6 rows).
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3. Applied methodology (cont.)
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�Data collection:
− inquiry by questionnaire;
− variables of the questionnaire:
Variables Categories
General data about the company Dimension, profits, R&D investments
Energy Tariff, energy sources, costs
Raw materials & products Types, quantities, industrial processes
Equipment for cold generationStructure, temperatures, maximum
capacities
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3. Applied methodology (cont.)
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�Data treatment:
− data insertion in a common database (web platform);
− determination of several energy efficiency indicators:
• energy cost per kg of product;
• electric energy cost per kW.h;
• average deviation of temperatures from ideal values;
• R&D investments;
• ...
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3. Applied methodology (cont.)
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�Tools to decide which energy efficiency measures to apply:
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3. Applied methodology (cont.)
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�Optimization of electric energy tariff:
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3. Applied methodology (cont.)
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�Optimization of cold storage consumptions:
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3. Applied methodology (cont.)
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�Optimization of cold storage consumptions (cont.):
− method: ASHRAE 2002;
− thermal loads that influence energy consumption:
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3. Applied methodology (cont.)
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4. Achieved results
�Analysis of energy indicators:
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4. Achieved results (cont.)
�Analysis of energy indicators (cont.):
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4. Achieved results (cont.)
�Analysis of energy indicators (cont.):
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4. Achieved results (cont.)
�Analysis of energy indicators (cont.):
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4. Achieved results (cont.)
�Analysis of energy indicators (cont.):
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4. Achieved results (cont.)
�Analysis of energy indicators (cont.):
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4. Achieved results (cont.)
�Analysis of energy indicators (cont.):
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5. Some final reflections
�Relevant disparities in several energy efficiency indicators.
�Revision of electric energy tariffs.
�Higher production → better efficiency.
�Approach cold chamber's temperature to the product's point of
conservation.
�Other measures to observe:
− installation of batteries of capacitors;
− definition of a maintenance plan (substitution of rubber seals,
defrost, condenser cleaning, ...);
− heat recovery systems.28
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Thanks for the attention!
Co-financed
by: