Technical and economic analysis of biomass-fired power plants in North part of Poland

Jerzy Buriak

Gdansk University of Technology

Assumptions of biomass supply Direct observations of biomass supply

potential Cultivated areas where not considered Straw is fuel for heat production in local

sources Max. 20 km distance for biomass truck

transport to railway sidings

-800 -600 -400 -200 0 200 400 600

Gościcino

Strzebielin

Bożepole

Lębork

Mosty

Potęgow o

Stułżyce

Jerzyce

SłupskKobylnia

Sycew ice

Wrześnica

Sław no

Kaw ice

Wiekow o

Skibno

Koszalin

Białogard

Rąbino

Św idw in

Worow oMiejscowości od Gościcino

Wejherowskie do Łobza: 228 km----------------------------------------- Gościcino Wejherows Luzino Strzebielino Morskie Bożepole Wielkie Godętowo Lębork Leśnice Pogorzelice Potęgowo Głuszyno Pomorskie Strzyżyno Słupskie Damnica Jezierzyce Słupskie Słupsk Reblino Sycewice Wrześnica Sławno Karwice Wiekowo Skibno Koszalin Niekłonice Dunowo Nosówko Kościernica Białogard Czarnowęsy Pom. Rąbino Nielep Świdwin Klępnica Worowo Łobez   

Estimations and data 18600 hectares of suitable areas adjoining

the railway Gdansk-Szczecin: unused meadows, little boggy meadows, pine forests, mixed forest, low quality mixed forests, fields-unused lands, wastelands, hills, wide verges of roads

25 sidings between Goscicino and Lobez

Assumed yield coefficients [ha/ha] - base level: 7 ton of dry matter per hectare meadows 1 meadow-use lands 1 boggy meadow 1,2* pine forests 0,1** mixed forest 0,3 low quality mixed forests 0,4 fields-unused lands 1 wastelands 1 hills 0,6*** wide verges 0,6****

Final estimation 20% of potential will be exploited A part of fuel is transported by trucks

farther than 20 km

50 thousands of hectares: 3 power plants 25.5 MW each, 500 t of dry matter per dayutilization time 5000h/yr, efficiency 25,3%

Estimation of maximal biomass supply potential in equivalent of Salix viminalis plantations (7 t of dry matter)

186 thousands of hectares enough to supply 330 MW powerplant and fully loaded 6000h/yr

Calorific value of wet wood high caloric value of dry wood [MJ/kg] 18.7 humidity [%] 30(45) water evaporation heat [kJ/kg] 2442 calorific value of wet wood [MJ/kg] 11.4(8.5)

Wet wood combustions technology with efficiency 25.3% was chosen

Investment assumptions Source of data: Joule R&D Programme investment in Wood Reception and Storage

reduced by 50% Investment in Boiler House reduced by 33% Investment in Steam and Condensate System and

Utilities not reduced

Totaly: 1.53 mln of Euro per 1 MWe

Operating and maintenance Maintenance, repairs and materials -

66 000 Euro/MW/yr NOx emissions – 350 Euro/MW/yr

(peak load utilization time 5 500 h/yr)

Railway transport costc = 2 · d · a · udt + mt

tc –cost of railway truck transport to power plant and back

d – distance a – number of railway truck axes udt – tariff per axe and kilometre (Attachment 3 of PKP

Tariff) mt – tariff per specific mass of commodity and specific

distance (Attachment 3 of PKP Tariff)

Transport cost assumptions The utilizations costs of railway sidings not

included (as PKP contribution in intensification of railway exploitation)

Time of back and forth trip of railway truck with loading – 5 days

Fuel costs Cost related to amortization of railway trucks: 4.5

Euro per 1 ton of wood (humidity of wood as delivered – ad.)

Cost of 50 km, back and forth railway transport: 5.25 Euro per 1 ton of ad. Wood

Costs of railway truck loading on the sidings: 0,75 Euro/t

The considered range of wood fuel prices from farmers and forestry and wood companies: 28 ÷ 53 Euro per 1 ton of ad. fuel (30% of humidity)

Parameters of economic analysis Discount rate: 8 ÷ 10 % Electricity price: 67 ÷ 85 Euro/MWh Fuel price

The influence of fuel price on profitability

0%

5%

10%

15%

20%

12 22 32 42

Wood fuel average price [Euro/t]

IRR

The influence of fuel price on profitability

-5.00%

0.00%

5.00%

10.00%

15.00%

50.00 60.00 70.00 80.00 90.00

electricity selling price [Euro/MWh]

IRR

Tasks related to election of modeling system and model preparation and parameterization for chosen region:

   Preliminary analysis of the energy potential of bioenergy usage in Poland;      An analysis of actual state of art in bioenergy law and actual projects in renewable energy in Poland and on the World;   The analysis of existing in Poland and on the World models for planning of energy system development;     Technical and economical analysis of basic energy systems in Poland;       The energy demand forecasts;  A mathematical description of simple model of energy system development – model is suitable for modeling of renewable energy use;    A work out of a model of the professional power system – data aggregation and model parameterization;        Regional applications of MARKAL family models;        The investigation of MARKAL model applications and description of TIMES model features – TIMES is next generation of MARKAL

Other tasks: Technical and economical analysis of local system supplied by

biomass-fired source; Tentative project analysis of the group of the biomass-fired power

plants located in north part of Poland; Application of computer tool RetScreen to assessment and analysis of

small district heating projects; The biomass based supply of heat of housing estate in the city

suburbs – the technical and economical analysis; Trade conditions in electricity generated from biomass and waste; Development directions of energy systems in Poland in example of

collective noun for the cities of Gdańsk, Sopot and Gdynia.